Share Email Print
cover

Proceedings Paper

Tracking people in mixed modality systems
Author(s): Yuri Ivanov; Alexander Sorokin; Christopher Wren; Ishwinder Kaur
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In traditional surveillance systems tracking of objects is achieved by means of image and video processing. The disadvantages of such surveillance systems is that if an object needs to be tracked - it has to be observed by a video camera. However, geometries of indoor spaces typically require a large number of video cameras to provide the coverage necessary for robust operation of video-based tracking algorithms. Increased number of video streams increases the computational burden on the surveillance system in order to obtain robust tracking results. In this paper we present an approach to tracking in mixed modality systems, with a variety of sensors. The system described here includes over 200 motion sensors as well as 6 moving cameras. We track individuals in the entire space and across cameras using contextual information available from the motion sensors. Motion sensors allow us to almost instantaneously find plausible tracks in a very large volume of data, ranging in months, which for traditional video search approaches could be virtually impossible. We describe a method that allows us to evaluate when the tracking system is unreliable and present the data to a human operator for disambiguation.

Paper Details

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080L (29 January 2007); doi: 10.1117/12.714078
Show Author Affiliations
Yuri Ivanov, Mitsubishi Electric Research Labs. (United States)
Alexander Sorokin, Univ. of Illinois, Urbana Champaign (United States)
Christopher Wren, Mitsubishi Electric Research Labs. (United States)
Ishwinder Kaur, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

© SPIE. Terms of Use
Back to Top