Nothing Special   »   [go: up one dir, main page]

Uy et al., 2016 - Google Patents

Automated traffic violation apprehension system using genetic algorithm and artificial neural network

Uy et al., 2016

Document ID
14144570278593985374
Author
Uy A
Quiros A
Bedruz R
Abad A
Bandala A
Sybingco E
Dadios E
Publication year
Publication venue
2016 IEEE Region 10 Conference (TENCON)

External Links

Snippet

Developing countries face the problem of crowded and congested roads because of inefficient implementation of traffic rules. Motorists ignore the rules because they are not apprehended and can get away easily. This paper proposes an intelligent traffic system that …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Uy et al. Automated traffic violation apprehension system using genetic algorithm and artificial neural network
Kamkar et al. Vehicle detection, counting and classification in various conditions
US10706330B2 (en) Methods and systems for accurately recognizing vehicle license plates
JP5815910B2 (en) Methods, systems, products, and computer programs for multi-queue object detection and analysis (multi-queue object detection and analysis)
US9477892B2 (en) Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems
Atkočiūnas et al. Image processing in road traffic analysis
Parthasarathi et al. Smart control of traffic signal system using image processing
Lee et al. Available parking slot recognition based on slot context analysis
Alonso et al. Robust vehicle detection through multidimensional classification for on board video based systems
KR102122850B1 (en) Solution for analysis road and recognition vehicle license plate employing deep-learning
Grbić et al. Automatic vision-based parking slot detection and occupancy classification
Parvin et al. Vehicle number plate detection and recognition techniques: a review
CN113515968A (en) Method, device, equipment and medium for detecting street abnormal event
Arora et al. Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review
Bedruz et al. Philippine vehicle plate localization using image thresholding and genetic algorithm
Prabhu et al. Recognition of Indian license plate number from live stream videos
Arnob et al. An intelligent traffic system for detecting lane based rule violation
Tao et al. A three-stage framework for smoky vehicle detection in traffic surveillance videos
KR et al. Moving vehicle identification using background registration technique for traffic surveillance
Kushwaha et al. Car Number Plate Detection using Deep Learning
Chen et al. Vision-based traffic surveys in urban environments
Mahalakshmi et al. Smart toll collection using automatic license plate recognition techniques
Biswas et al. Detection of Traffic Rule Violations Using Machine Learning: An Analytical Review
Saha et al. A novel scheme for binarization of vehicle images using hierarchical histogram equalization technique
Mokha et al. A review of computer vision system for the vehicle identification and classification from online and offline videos