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
Urban Vehicle Tracking Using a Combined 3D Model Detector and Classifier
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Stochastic Representation and Recognition of High-Level Group Activities
International Journal of Computer Vision
Hierarchical feature grouping for multiple object segmentation and tracking
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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Vehicle inter-occlusion is a significant problem for multiplevehicle tracking even with a static camera. The difficulty is that the one-to-one correspondence between foreground blobs and vehicles does not hold when multiple vehicle blobs are merged in the scene. Making use of camera and vehicle model constraints, we propose a MCMCbased method to segment multiple merged vehicles into individual vehicles with their respective orientation. Then a Viterbi algorithm is applied to search through the sequence for the optimal tracks. Our method automatically detects and tracks multiple vehicles with orientation changes and prevalent occlusion, without requiring a special region to initialize each vehicle individually. Tests are performed on video sequences from busy street intersections and show very promising results.