Multiple vehicle detection and tracking

Margrit Betke; Ismail Haritaoglu; Larry S. Davis

doi:10.1117/12.267814

26 February 1997 Multiple vehicle detection and tracking

Margrit Betke, Ismail Haritaoglu, Larry S. Davis

Proceedings Volume 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision; (1997) https://doi.org/10.1117/12.267814
Event: 25th Annual AIPR Workshop on Emerging Applications of Computer Vision, 1996, Washington, DC, United States

Abstract

A hard real time vision system has been developed that recognizes and tracks multiple cars from video sequences taken from a car driving on highways and country roads. Recognition is accomplished by combining the analysis of single image frames with the analysis of the motion information provided by multiple consecutive image frames. In single image frames, cars are recognized by matching deformable gray-scale templates, by detecting image features, such as corners, and by evaluating how these features relate to each other. Cars are also recognized by tracking motion parameters that are typical for cars. The vision system utilizes the hard real-time operating system Maruti which guarantees that the timing constraints on the various vision processes are satisfied. The dynamic creation and termination of tracking processes optimizes the amount of computational resources spent and allows fast detection and tracking of multiple cars. Experimental results demonstrate robust, real-time recognition and tracking over thousands of image frames.

Citation Download Citation

Margrit Betke, Ismail Haritaoglu, and Larry S. Davis "Multiple vehicle detection and tracking", Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); https://doi.org/10.1117/12.267814

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