DocumentCode :
3205381
Title :
Simultaneous calibration and tracking with a network of non-overlapping sensors
Author :
Rahimi, Ali ; Dunagan, Brian ; Darrell, Trevor
Author_Institution :
Comput. Sci. & Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Volume :
1
fYear :
2004
fDate :
27 June-2 July 2004
Abstract :
We describe a method for simultaneously recovering the trajectory of a target and the external calibration parameters of non-overlapping cameras in a multi-camera system. Each camera is assumed to measure the location of a moving target within its field of view with respect to the camera´s ground-plane coordinate system. Calibrating the network of cameras requires aligning each camera´s ground-plane coordinate system with a global ground-plane coordinate system. Prior knowledge about the target´s dynamics can compensate for the lack of overlap between the camera fields of view. The target is allowed to move freely with varying speed and direction. We demonstrate the idea with a network of indoor wireless cameras.
Keywords :
Markov processes; cameras; image motion analysis; image sensors; iterative methods; maximum likelihood estimation; target tracking; Markov processes; calibration parameters; camera ground plane coordinate system; indoor wireless cameras; iterative methods; moving target location measurement; multicamera system; nonoverlapping cameras; nonoverlapping sensors; tracking; Calibration; Cameras; Computer science; Extrapolation; Intelligent sensors; Sensor phenomena and characterization; Sensor systems; Target tracking; Trajectory; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315031
Filename :
1315031
Link To Document :
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