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

Chen et al., 2018 - Google Patents

Tracking multiple moving objects using unscented Kalman filtering techniques

Chen et al., 2018

View PDF
Document ID
8096836936715544817
Author
Chen X
Wang X
Xuan J
Publication year
Publication venue
arXiv preprint arXiv:1802.01235

External Links

Snippet

It is an important task to reliably detect and track multiple moving objects for video surveillance and monitoring. However, when occlusion occurs in nonlinear motion scenarios, many existing methods often fail to continuously track multiple moving objects of …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
    • G01S13/72—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
    • G01S13/726—Multiple target tracking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
    • 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
    • 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
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves

Similar Documents

Publication Publication Date Title
Chen et al. Tracking multiple moving objects using unscented Kalman filtering techniques
Gilholm et al. Poisson models for extended target and group tracking
Kirubarajan et al. Probabilistic data association techniques for target tracking in clutter
CN104835178B (en) A kind of tracking of low signal-to-noise ratio moving small target is with knowing method for distinguishing
Khaloozadeh et al. Modified input estimation technique for tracking manoeuvring targets
CN116128932B (en) Multi-target tracking method
Zhu et al. Integrity of visual navigation—developments, challenges, and prospects
Tang et al. Multiple-kernel adaptive segmentation and tracking (MAST) for robust object tracking
Fleck et al. Robust tracking of reference trajectories for autonomous driving in intelligent roadside infrastructure
CN106780567A (en) A kind of immune particle filter extension method for tracking target of Fusion of Color and histogram of gradients
Najafzadeh et al. Object tracking using Kalman filter with adaptive sampled histogram
CN111681264A (en) Real-time multi-target tracking method for monitoring scene
Vatavu et al. Environment estimation with dynamic grid maps and self-localizing tracklets
KR101280348B1 (en) Multiple target tracking method
Son et al. SIMM method based on acceleration extraction for nonlinear maneuvering target tracking
Tissainayagam et al. Visual tracking with automatic motion model switching
Hashmi et al. GAIT analysis: 3D pose estimation and prediction in defence applications using pattern recognition
Saif et al. Adaptive long term motion pattern analysis for moving object detection using UAV aerial images
Zhang A probabilistic approach to tracking moving targets with distributed sensors
Zaveri et al. Wavelet-based detection and its application to tracking in an IR sequence
Lee Adaptive data association for multi-target tracking using relaxation
Grimmett et al. Multistatic post-track classification using a target strength function
Santhi et al. Adaptive switching between JPDA and set JPDA algorithms based on validation gates
CN112967324B (en) Multi-hypothesis target tracking method and device, storage medium and electronic equipment
Teoh et al. Fast Regression Convolutional Neural Network for Visual Crowd Counting