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Carnegie Mellon Robotics Institute

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Abstract

We provide a fast algorithm to perform image-based tracking, which relies on the selective integration of a small subset of pixels that contain a lot of information about the state variables to be estimated. The resulting dramatic decrease in the number of pixels to process results in a substantial speedup of the basic tracking algorithm. We have used this new method within a surveillance application, where it will enable new capabilities of the system, i.e. real-time, dynamic background subtraction from a panning and tilting camera.

Keywords

Computer Vision, Visual Tracking, Real-time Vision

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Video Surveillance and Monitoring and People Image Analysis Consortium

Associated Project(s): Video Surveillance and Monitoring

Text Reference

Frank Dellaert and Robert Collins, "Fast Image-Based Tracking by Selective Pixel Integration," ICCV 99 Workshop on Frame-Rate Vision, September, 1999.

BibTeX Reference

@inproceedings{Dellaert_1999_3195,
   author = "Frank Dellaert and Robert Collins",
   title = "Fast Image-Based Tracking by Selective Pixel Integration",
   booktitle = "ICCV 99 Workshop on Frame-Rate Vision",
   month = "September",
   year = "1999",
}

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