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Multiple Vehicle Detection and Tracking in Hard Real-Time (1996) [19 citations — 1 self]

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@INPROCEEDINGS{Betke96multiplevehicle,
    author = {Margrit Betke and Esin Haritaoglu and Larry S. Davis},
    title = {Multiple Vehicle Detection and Tracking in Hard Real-Time},
    booktitle = {IEEE Intelligent Vehicles Symposium},
    year = {1996},
    pages = {351--356}
}

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Abstract:

A vision system is developed that recognizes and tracks multiple cars from sequences of gray-scale images taken from a moving car in hard real-time. The recognition method is based on feature detection, on-line deformable template matching, and temporal differencing. The vision system utilizes the hard real-time operating system Maruti which guarantees that the timing constraints on the various processes of the vision system are satisfied. The dynamic creation and termination of tracking processes optimizes the amount of computation resources spent and allows fast real-time recognition and tracking of multiple cars as demonstrated over a large number of image frames.

Citations

78	ASSET-2: Real-Time Motion Segmentation and Shape Tracking – Smith, Brady - 1995
34	Fast object recognition in noisy images using simulated annealing – Betke, Makris - 1995
26	An Integrated Stereo-based Approach to Automat,ic Vehicle Guidance – Luong, Weber, et al.
17	Real-Time Estimation and Tracking of Optical Flow Vectors for Obstacle Detection – Kruger, Enkelmann, et al. - 1995
12	Visual recognition of obstacles on roads – Regensburger, Graefe - 1994
11	Design and Implementation of Maruti-II – Saksena, Silva, et al.
4	Real-time vehicle tracking and classification – Noll, Werner, et al. - 1995
3	Vision-based Robotic Convoy Driving – Schneiderman, Nashman, et al. - 1995
2	A real-time vision for intelligent vehicles – Ninomiya, Matsuda, et al. - 1995