Multiple Camera Tracking

Tracking of humans or objects within a scene has been studied extensively. We present a multiple camera system for object tracking. The system employs uncalibrated cameras and depends on the motion-tracking algorithm to achieve both point correspondence and image registration. The system is capable of switching between different cameras to achieve the best tracking conditions of the object. A simple communication scheme is established between the cameras in order to achieve both robust tracking and occlusion prevention.

[1]  A. M. Tekalp,et al.  Multiple camera tracking of interacting and occluded human motion , 2001, Proc. IEEE.

[2]  Chia-Hsiang Menq,et al.  Automatic camera calibration for a multiple-sensor integrated coordinate measurement system , 2001, IEEE Trans. Robotics Autom..

[3]  Federico Pedersini,et al.  Multi-camera parameter tracking , 2001 .

[4]  Mubarak Shah,et al.  Camera handoff: tracking in multiple uncalibrated stationary cameras , 2000, Proceedings Workshop on Human Motion.

[5]  Richard Szeliski,et al.  A parallel feature tracker for extended image sequences , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[6]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[8]  C. Tomasi.  Detection and Tracking of Point Features , 1991 .

[9]  Bernd Neumann,et al.  Optical flow , 1986, Workshop on Motion.