Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups

Ensembles of multiple (active) cameras yield an important ingredient in modern tracking and surveillance applications. They overcome the limited fields-of-view of single cameras, however, require robust procedures for handing over tracking tasks from one camera to another. In this paper a calibration-free procedure is proposed that allows for fast and reliable camera hand-over in Ambient Intelligence (AmI) applications. The approach is based on online acquisition of scenario-specific target models and especially solves the problem of significant changes in object view during hand-over. Real-world results acquired in an AmI environment prove the effectiveness of our technique.

[1]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[2]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[3]  Yuan-Fang Wang,et al.  Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[4]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[5]  Simone Calderara,et al.  Consistent Labeling for Multi-camera Object Tracking , 2005, ICIAP.

[6]  Younggwan Jo,et al.  A new approach to camera hand-off without camera calibration for the general scene with non-planar ground , 2006, VSSN '06.

[7]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[8]  Luc Van Gool,et al.  Color-Based Object Tracking in Multi-camera Environments , 2003, DAGM-Symposium.

[9]  Radu Horaud,et al.  Camera cooperation for achieving visual attention , 2005, Machine Vision and Applications.

[10]  S. P. Mudur,et al.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[11]  Larry S. Davis,et al.  Unified multi-camera detection and tracking using region-matching , 2001, Proceedings 2001 IEEE Workshop on Multi-Object Tracking.

[12]  James Black,et al.  Multi view image surveillance and tracking , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..