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CN102054167B - All-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring - Google Patents

All-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring Download PDF

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CN102054167B
CN102054167B CN 201010586166 CN201010586166A CN102054167B CN 102054167 B CN102054167 B CN 102054167B CN 201010586166 CN201010586166 CN 201010586166 CN 201010586166 A CN201010586166 A CN 201010586166A CN 102054167 B CN102054167 B CN 102054167B
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CN102054167A (en
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梁荣华
刘向东
田青
马祥音
毛剑飞
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Zhejiang University of Technology ZJUT
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Abstract

The invention discloses an all-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring. The system comprises a video acquisition terminal, wherein the video acquisition terminal comprises active infrared monitoring cameras and video acquisition modules both installed at the inlets of various pedestrian flow monitoring channels, a codebook background module, an image preprocessing module and a wireless transmission module; and the system further comprises: a central server terminal for receiving acquired pedestrian flow data and performing projection, tracking and counting, wherein the central server terminal comprises a wireless reception module, a new pedestrian flow detection module and a pedestrian flow tracking and counting module. The invention provides an all-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring, with excellent self-adaptive ability and outstanding reliability.

Description

Round-the-clock multiplexer channel flow of the people monitoring system based on the Radio infrared monitoring
Technical field
The present invention relates to the monitoring technique of computer vision field, especially a kind of round-the-clock multiplexer channel flow of the people monitoring system.
Background technology
Along with society is constantly progressive, the range of application of video monitoring system is more and more extensive.In the supermarket, the place, gateway of the public places such as subway, harbour and station is equipped with watch-dog usually.By these watch-dogs, administrative staff can understand the safe operation situation of grasping guarded region in real time.But along with the increase of passage flow of the people, the manager many times needs to be grasped the flow of the people information of respective channel in the certain hour section.Need to mainly contain at present following several method with regard to this:
The first is by the mode of manually checking.This mode needs to consume for a long time human resources on the one hand; On the other hand, As time goes on the fatigue aggravation of checking personnel, the effect of manually checking is variation gradually, and the data reliability of checking that causes finally obtaining is had a greatly reduced quality.
The second, the foot-operated approach sensor of machinery.This mode is installed mechanical foot pedals on the ground, passway that needs carry out people flow rate statistical, the pedestrian who passes through tramples these pedals, then by wanting that with pedal the transducer that is connected is delivered to end for process to the information of trampling, transform and add up the purpose that reaches people flow rate statistical by trample information processing and flow of the people at the information processing end.This mode is processed the situation of arranging that accuracy can depend critically upon pedal.In addition, when turnover stream of people skewness, the accumulation precision of this kind method can further reduce.
The third adopts the infrared induction mode.This kind mode is at the both sides of entrance and exit of the passage installation infrared line emitters (such as infrared diode) and infrared signal induction receiving system (such as photodiode), by running through the infrared signal circumstance of occlusion of logical passage, analyzes the pedestrian and passes through situation.This mode obtains more accurately statistical information on class when a pedestrian passes in and out.But, the situation such as block for the stream of people, serious undetected situation can appear.
The 4th kind, based on the technology of video monitoring.Based on the patent of people flow rate statistical aspect of computer vision, also existing people proposes.But there are various popularization restrictions in existing these methods based on computer vision at present.Such as, by carrying out the detection of the number of people based on Haar feature Adaboost method, train respectively corresponding grader although propose to decorate (such as Westerner, scarf etc.) for different color developments, different hair style, different head, then become cascade classifier to carry out the detection of the different-shape passage number of people with these classifiers combination.But actual stream of people's headwear is very strange, train respectively hardly reality of corresponding grader.
Summary of the invention
The adaptive ability that has the flow of the people monitoring method is poor in order to overcome, the deficiency of poor reliability, the invention provides a kind of have good adaptive ability, the good round-the-clock multiplexer channel flow of the people monitoring system based on the Radio infrared monitoring of reliability.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of round-the-clock multiplexer channel flow of the people monitoring system based on the Radio infrared monitoring, comprise the video acquisition terminal, described video acquisition terminal comprises the infrared monitoring camera that is installed in each stream of people's monitor channel mouth place and in order to gather the video acquisition module of video image, described monitoring camera adopts the active infra-red monitoring camera, described video acquisition terminal also comprises: code book background module, in order to being carried out a yard element, each pixel in the image of video acquisition builds, if present frame correspondence position pixel color gray scale drops in effective tolerance of existing code element, judge the corresponding background area of current pixel point; If the current color value does not drop in the plain scope of existing any one yard, then set up the fluctuate code element on border of new containing; All pixels in the whole monitoring image of present frame are carried out same evaluation process, realize cutting apart and extracting of motion pedestrian, obtain target area image; The image pretreatment module is in order to carry out denoising to target area image; Wireless transmitter module sends by wireless network in order to the stream of people is gathered video data;
Described multiplexer channel flow of the people monitoring system also comprises: in order to receiving stream of people's image data, and carry out the center server that projection, tracking and counting are processed; Described center server comprises:
Wireless receiving module gathers video data in order to the stream of people who receives each video acquisition terminal;
Newly advance stream of people's detection module, realize newly carrying out regional detection and the location of the person among the stream of people in order to employing in the method that view field carries out projection, pedestrian's person is carried out the colouring information projection at two-dimensional directional, realize the initial alignment of effective number of people by two-dimentional extreme value detection and cross bearing;
The stream of people follows the tracks of and counting module, in order to each pedestrian target that has detected in the current channel end monitoring range, set up the Kalman tracker of a correspondence, rely on the Kalman prediction to realize corresponding pedestrian's band of position prediction, then adopt the incidence matrices method to carry out pedestrian's Object matching in the Kalman estimation range, the renewal of measured value of state is carried out in the position of adopting incidence matrices coupling location to obtain to the Kalman of correspondence; In tracing area, set the inner projection zone of the outer projection zone of the direction of entering and the direction of going out, when this target enters from the inner projection zone, and system gos out person-time cumulative for 1 time during from outer projection's zone disappearance monitoring range; In like manner, when this target enters from the outer projection zone, and system enters person-time cumulative for 1 time during from inner projection zone disappearance monitoring range; And gather the flow of the people information of each stream of people's monitor channel mouth.
As preferred a kind of scheme: the described stream of people follow the tracks of and counting module in, the incidence matrices method comprises following match condition:
(a) occur new target in the incidence matrices: this target is for newly entering the target of monitoring range, for this target is set up corresponding target following initial information, the body position information that adopts this target to try to achieve in view field is carried out the initialization of the trace information of Kalman and incidence matrices, and the initial position take this information as this pedestrian;
(b) target is complementary before and after in the incidence matrices: suppose that pedestrian i is respectively Hi, Wi and Pi in the corresponding height of the position of former frame tracking area frame S, width and center, by new tracking frame S ' corresponding after Kalman prediction and the incidence matrices coupling highly, width and center be respectively Hi ', Wi ' and Pi ', then the overlapping area of S and S ' is every other and S has of maximum of the faying surface of overlapping relation; And according to this moment S ' information carry out the renewal of corresponding target Kalman and incidence matrices trace information;
(c) certain target disappears in the incidence matrices: do not mate target when matching when frame target before in the incidence matrices certain at present frame, this disappearance target is asked for its path vector information according to location coordinate information and the initial position message of its former frame.
Further again, in described image pretreatment module, adopt the open and close computing in the morphology to carry out denoising.
Technical conceive of the present invention is: comprise video acquisition terminal and central information processing server based on the embedded-type ARM platform in system architecture.At embedded video surveillance terminal, carry out the preliminary preliminary treatment of video Real-time Collection and the video of respective channel; Center server in system, the pretreated monitor video that each road video acquisition terminal is sent carries out gathering of corresponding video people stream quantitative statistics and the whole flows of the people of all passages.Adopt the wireless network such as WiFi to realize connecting and communicating by letter between terminal and the central server.
Beneficial effect of the present invention is mainly manifested in:
(1) in the wireless video collecting terminal of each passway, adopt the active infra-red monitoring camera to carry out obtaining of monitor video, avoided system that dependence and the light variation of luminous ray are disturbed, satisfied the round-the-clock application demand of system.
(2) a whole set of method system is divided into based on parts such as the passage video acquisition terminal of embedded-type ARM platform and information processing centre servers, has realized that the parallel stream of people of distributed multi-channel adds up synchronously.
(3) adopt the code book background modeling method, realized like this adaptive ability to the monitoring change of background, got rid of the interference of the non-effective pedestrian target that enters the monitoring process range.
(4) near the inner and outer boundary in camera head monitor zone, divided respectively inner projection district and outer projection district, adopt two-dimensional projection's method to realize detection and the location, position of pedestrian's upper body.
(5) way that adopts Kalman to combine with incidence matrices realizes pedestrian's Continuous Tracking, because Kalman has very strong state information prediction and feedback capability.Therefore, avoided but the object matching of the practical incidence matrices in village in the undetected leakage of the high-speed moving object generation with situation.
Description of drawings
Fig. 1 is based on the Organization Chart of the round-the-clock multiplexer channel flow of the people monitoring system of Radio infrared monitoring.
Fig. 2 is the structure schematic diagram of background codebook.
Fig. 3 is that the monitoring pedestrian of view field locates schematic diagram.
Fig. 4 is that the stream of people detects the tracking schematic diagram.
Fig. 5 is based on the round-the-clock multiplexer channel people flow rate statistical process chart of Radio infrared monitoring.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
With reference to Fig. 1~Fig. 5, a kind of round-the-clock multiplexer channel flow of the people monitoring system based on the Radio infrared monitoring comprises infrared video acquisition terminal 1 and the central information server end 2 based on the embedded-type ARM platform, at embedded video surveillance terminal, carry out the preliminary preliminary treatment of video Real-time Collection and the video of respective channel; Center server in system, the pretreated monitor video that each road video acquisition terminal is sent carries out gathering of corresponding video people stream quantitative statistics and the whole flows of the people of all passages.Adopt the wireless network 3 such as WiFi to realize connecting and communicating by letter between video acquisition terminal 1 and the center server 2.
Video acquisition terminal: based on above system architecture, at each stream of people's monitor channel mouth place, adopt the active infra-red monitoring camera angle that the center is overlooked above passage that is connected in the embedded-type ARM processing platform to carry out collection and the preliminary treatment of all-weather infrared video.Disturb in order to get rid of the conversion of monitoring background, adopt code book background evaluation method to realize the foundation of monitoring scene and periodically update in the video acquisition terminal.In background evaluation, just can judge each pixel of frame of video and be in background area or pedestrian zone, thereby reach motion pedestrian's the detection of cutting apart, on this basis, adopt morphology open and close computing and histogram equalization etc. to realize the preliminary treatment of image.Carry out the preliminary treatment of video acquisition, code book background modeling and prospect pedestrian image in the video acquisition terminal, detailed process is as follows.
(1) code book background modeling
After collecting monitor video, adopt code book (codebook) method to realize the periodicity scene modeling of surveyed area.Each pixel in the image of video acquisition is carried out a yard element build, if present frame correspondence position pixel color gray scale drops in effective tolerance of existing code element, the corresponding background area of current pixel point is described then; If the current color value does not drop in the plain scope of existing any one yard, then set up the fluctuate code element on border (being called tolerance) of new containing; Same reason is carried out same evaluation process to all pixels in the current frame image, has just realized the background evaluation of guarded region.The structure of background codebook is illustrated in fig. 2 shown below.Then periodically carry out the renewal of code book, realization has the interpolation of newly advancing background and the rejecting of out-of-date invalid background information.In the code book background evaluation, we know which pixel belongs to background, and which pixel belongs to the motion detection target, have so just just realized also that the Target Segmentation of similar image difference fraction detects.
(2) image preliminary treatment
Detection by the periodic effectively context update of code book and moving target is cut apart, and we have obtained the stream of people's moving target in the monitoring range.But be subjected to the interference of noise etc., therefore target area information and not all very bright and clear and complete, need to adopt preprocess methods such as open and close computing in the morphology to realize cutting apart of the noise elimination of motion target area, adhesion target.
Center server: at the system centre server end, the center processing processing server gathers video from the video acquisition terminal reception that is distributed on each passage through the pretreated stream of people by wireless networks such as WiFi, and being respectively the video subsequent treatment subprocess that each acquisition terminal is set up a correspondence, these subprocesss carry out counting processing of projection, tracking and flow of the people etc. to the passage stream of people video that counterpart terminal separately transmits respectively.At last, the people stream counting value that the server parent process is tried to achieve by comprehensive each subprocess is upgraded overall stream of people's statistical value, has so just realized the stream of people's quantitative statistics based on the multiplexer channel of Radio infrared monitoring.Each video people stream of server end is processed subprocess and is realized each counterpart wireless terminal passage stream of people's statistics by newly advancing the steps such as stream of people's projection detection, the tracking of existing pedestrian target coupling and flow of the people counting respectively, and concrete steps are as follows.
(1) newly advancing the stream of people detects
The pedestrian of new admission passage terminal camera monitoring visual field, the situation that may exist health to block, this also is based on computer vision technique and realizes the difficult point of effectively accurate stream of people's statistics and break through emphasis.At present existing difficult point based on computer vision methods stream of people statistics.At present, patent and the method for existing stream of people's statistics aspect based on computer vision are still undesirable to the statistical disposition of blocking the stream of people, all exist variety of issue.For these problems, we realize newly carrying out regional detection and the location of the person among the stream of people in the method that view field carries out projection at employing, are illustrated in fig. 3 shown below.Pedestrian's person is carried out the colouring information projection at two-dimensional directional, detect and cross bearing realizes effective number of people initial alignment of (comprise and being blocked) by two-dimentional extreme value, for follow-up Kalman and incidence matrices stream of people tracking provide the tracking of newly advancing target initial information.
(2) stream of people follows the tracks of and counting
To each pedestrian target that has detected in the current channel end monitoring range, set up the Kalman tracker of a correspondence, rely on the Kalman prediction to realize corresponding pedestrian's band of position prediction, then adopt the incidence matrices method in the Kalman estimation range, to carry out pedestrian's Object matching.The renewal of measured value of state is carried out in the position of then, adopting incidence matrices coupling location to obtain to the Kalman of correspondence.Circulate successively, just realized the Continuous Tracking of monitoring pedestrian target.When adopting incidence matrices to carry out the pedestrian target tracking, following several match condition is arranged:
(a). occur new target in the incidence matrices: this target is described for newly entering the target of monitoring range, target is not also set up corresponding Kalman filter and information recording/.Therefore, set up corresponding target following initial information for this target.The body position information that adopts this target to try to achieve in view field is carried out the initialization of the trace information of Kalman and incidence matrices, and the initial position take this information as this pedestrian.
(b). target is complementary before and after in the incidence matrices: suppose that pedestrian i is (shown in Figure 2 at the position of former frame tracking area frame, being designated as S here) height, width and center are respectively Hi, Wi and Pi accordingly, by new tracking frame (being designated as S ') corresponding after Kalman prediction and the incidence matrices coupling highly, width and center be respectively Hi ', Wi ' and Pi ', then the overlapping area of S and S ' is every other and S has of maximum of the faying surface of overlapping relation.And according to this moment S ' information carry out the renewal of corresponding target Kalman and incidence matrices trace information.
(c). certain target disappears in the incidence matrices: do not mate target when matching when frame target before in the incidence matrices certain at present frame, illustrate that this target disappears at present frame.At this moment, this disappearance target is asked for its path vector information according to location coordinate information and the initial position message of its former frame.And then when this target enters from the inner projection zone, and system gos out person-time cumulative for 1 time during from outer projection's zone disappearance monitoring range; In like manner, when this target enters from the outer projection zone, and system enters person-time cumulative for 1 time during from inner projection zone disappearance monitoring range.
Server end is respectively processed subprocess people counterpart monitor terminal video people stream detection statistics and is illustrated in fig. 4 shown below.
After video acquisition by above Radio infrared monitor terminal and the counterpart subprocess stream of people of preliminary treatment and the center server statistics, just obtained the turnover people information of each passage, on above basis, the stream of people of center server processes parent process by the statistical value of each subprocess of tabulate statistics, has just obtained the turnover people information of whole passages of whole system current time.Round-the-clock multiplexer channel people flow rate statistical method handling process based on the Radio infrared monitoring is illustrated in fig. 5 shown below.

Claims (2)

1. round-the-clock multiplexer channel flow of the people monitoring system based on Radio infrared monitoring, comprise the infrared video acquisition terminal, described video acquisition terminal comprises the infrared monitoring camera that is installed in each stream of people's monitor channel mouth place and in order to gather the video acquisition module of video image, it is characterized in that: described monitoring camera adopts the active infra-red monitoring camera, and described video acquisition terminal also comprises:
Code book background module is built in order to each pixel in the infrared image of video acquisition is carried out a yard element, if present frame correspondence position pixel color gray scale drops in effective tolerance of existing code element, judges the corresponding background area of current pixel point; If the current color value does not drop in the plain scope of existing any one yard, then set up the fluctuate code element on border of new containing; All pixels in the whole monitoring image of present frame are carried out same evaluation process, realize cutting apart and extracting of motion pedestrian, obtain target area image;
The image pretreatment module is in order to carry out denoising to target area image;
Wireless transmitter module sends by wireless network in order to the stream of people is gathered video data;
Described multiplexer channel flow of the people monitoring system also comprises: in order to receiving stream of people's image data, and carry out the center server that projection, tracking and counting are processed; Described center server comprises:
Wireless receiving module gathers video data in order to the stream of people who receives each video acquisition terminal;
Newly advance stream of people's detection module, realize newly carrying out regional detection and the location of the person among the stream of people in order to employing in the method that view field carries out projection, pedestrian's person is carried out the colouring information projection at two-dimensional directional, realize the initial alignment of effective number of people by two-dimentional extreme value detection and cross bearing;
The stream of people follows the tracks of and counting module, in order to each pedestrian target that has detected in the current channel end monitoring range, set up the Kalman tracker of a correspondence, rely on the Kalman prediction to realize corresponding pedestrian's band of position prediction, then adopt the incidence matrices method to carry out pedestrian's Object matching in the Kalman estimation range, the renewal of measured value of state is carried out in the position of adopting incidence matrices coupling location to obtain to the Kalman of correspondence; In tracing area, set the inner projection zone of the outer projection zone of the direction of entering and the direction of going out, when this target enters from the inner projection zone, and system gos out person-time cumulative for 1 time during from outer projection's zone disappearance monitoring range; In like manner, when this target enters from the outer projection zone, and system enters person-time cumulative for 1 time during from inner projection zone disappearance monitoring range; And gather the flow of the people information of each stream of people's monitor channel mouth;
In described stream of people's tracking and counting module, the incidence matrices method comprises following match condition:
(a) occur new target in the incidence matrices: this target is for newly entering the target of monitoring range, for this target is set up corresponding target following initial information, the body position information that adopts this target to try to achieve in view field is carried out the initialization of the trace information of Kalman and incidence matrices, and the initial position take this information as this pedestrian;
(b) target is complementary before and after in the incidence matrices: suppose that pedestrian i is respectively Hi, Wi and Pi in the corresponding height of the position of former frame tracking area frame S, width and center, by new tracking frame S ' corresponding after Kalman prediction and the incidence matrices coupling highly, width and center be respectively Hi ', Wi ' and Pi ', then the overlapping area of S and S ' is every other and S has of maximum of the faying surface of overlapping relation; And according to this moment S ' information carry out the renewal of corresponding target Kalman and incidence matrices trace information;
(c) certain target disappears in the incidence matrices: do not mate target when matching when frame target before in the incidence matrices certain at present frame, this disappearance target is asked for its path vector information according to location coordinate information and the initial position message of its former frame.
2. the round-the-clock multiplexer channel flow of the people monitoring system based on the Radio infrared monitoring as claimed in claim 1 is characterized in that: in described image pretreatment module, adopt the open and close computing in the morphology to carry out denoising.
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