A Fast Working System for Tracking Multiple Objects in a Confined View Space

Stan Sexton, UNR Department of CS.

Home
Abtract
Problem Statement
Results
Methodology
Conclusion & Future Work
Acknowledgements

Thank you to everyone who helped me through out the summer and to all of those great people that I had the opportunity to meet.

Advisors

Dr. Jim Gattiker, Los Alamos National Laboratory
Dr. George Bebis, UNR Department of CS.
Dr. Dwight Egbert, UNR Department of CS.

Acknowledgements

National Science Foundation
Los Alamos National Laboratory
University of Nevada, Reno Department of Computer Science
University of Nevada, Reno Office of Research

References

[1] D. Koller, J. Weber, J. Malik, “Robust Multiple Car Tracking with Occlusion Reasoning”
[2] K. Sato, J. K. Aggarwal, “Recognizing two-person interactions in outdoor image sequences”
[3] R. Rosales, S. Sclaroff, “Improved Tracking of Multiple Humans with Trajectory Prediction and Occlusion Modeling”
[4] B. A. Boghossian, S. A. Velastin, “Image Processing System for Pedestrian Monitoring using neural classification of normal motion patterns”
[5] Y. Ivanov, A. Bobick, J. Liu, “Fast Lighting Independent Background Subtraction”
[6] A. Elgammal, D. Harwood, L. Davis, “Non-parametric Model for Background Subtraction”