Real-Time Wide Area Multi-Camera Stereo Tracking

  • Authors:
  • Tao Zhao;Manoj Aggarwal;Rakesh Kumar;Harpreet Sawhney

  • Affiliations:
  • Sarnoff Corporation;Sarnoff Corporation;Sarnoff Corporation;Sarnoff Corporation

  • Venue:
  • CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
  • Year:
  • 2005

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Abstract

We present a fully integrated real-time system to track humans with a network of stereo sensors over a wide area. The processing includes single camera tracking and multi-camera fusion. Each single camera detects and tracks humans in its own view and a multi-camera fusion module combines all the local tracks of the same human into a global track. We propose novel stereo segmentation and tracking techniques to handle multiple humans moving in groups in cluttered environments. We have developed a ground-based fusion method for camera handoff using space-time constraint. We show results and performance evaluation on very challenging data from a12-camera system.