Occlusion Robust Vehicle Tracking based on SOM (Self-Organizing Map)
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
Combining shadow detection and simulation for estimation of vehicle size and position
Pattern Recognition Letters
Real-time illegal parking detection in outdoor environments using 1-D transformation
IEEE Transactions on Circuits and Systems for Video Technology
Estimating the driving state of oncoming vehicles from a moving platform using stereo vision
IEEE Transactions on Intelligent Transportation Systems
Multi-scale feature density approximation for object representation and tracking
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Real time classification and tracking of multiple vehicles in highways
Pattern Recognition Letters
Tracking of vehicle trajectory by combining a camera and a laser rangefinder
Machine Vision and Applications
A channel awareness vehicle detector
IEEE Transactions on Intelligent Transportation Systems
Incremental unsupervised three-dimensional vehicle model learning from video
IEEE Transactions on Intelligent Transportation Systems
Real-time multi-vehicle detection and sub-feature based tracking for traffic surveillance systems
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
A real time vehicle detection algorithm for vision-based sensors
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Improving object classification in far-field video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Behavior pattern extraction by trajectory analysis
Frontiers of Computer Science in China
Road traffic density estimation using microscopic and macroscopic parameters
Image and Vision Computing
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Generating vehicle trajectories from video data is an importantapplication of ITS (Intelligent Transportation Systems). Weintroduce a new tracking approach which uses model-based 3-Dvehicle detection and description algorithm. Our vehicle detectionand description algorithm is based on a probabilistic line featuregrouping, and it is faster (by up to an order of magnitude) andmore flexible than previous image-based algorithms. We present thesystem implementation and the vehicle detection and trackingresults.