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Adaptive Resolution System for Distributed Surveillance

2002; Academic Press; Volume: 8; Issue: 5 Linguagem: Inglês

10.1006/rtim.2002.0298

1096-116X

Dorin Comaniciu, Fabio Berton, Visvanathan Ramesh,

Advanced Vision and Imaging

We present a real-time foveation system for remote and distributed surveillance. The system performs face detection, tracking, selective encoding of the face and background, and efficient data transmission. A Java-based client–server architecture connects a radial network of camera servers to their central processing unit. Each camera server includes a detection and tracking module that signals the human presence within an observation area and provides the 2D face coordinates and its estimated scale to the video transmission module. The captured video data are then efficiently represented in log-polar coordinates, with the foveation point centered on the face, and sent to the connecting client modules for further processing. The current set-up of the system employs active cameras that track the detected person, by switching between smooth pursuit and saccadic movements, as a function of the target presence in the fovea region. High reconstruction resolution in the fovea region enables the successive application of recognition/verification modules on the transmitted video without sacrificing their performance. The system modules are well suited for implementation on the next generation of Java-based intelligent cameras.