2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
DOI: 10.1109/cvpr.2003.1211362
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Automated multi-camera planar tracking correspondence modeling

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Cited by 91 publications
(67 citation statements)
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“…The work of Javed et al [7] and that of Stauffer and Tieu [5] for example, is directly related to the development of multi-target tracking systems. Similarly, one of the stated goals of Ellis et al [8,9] is to enhance the tracking performance of surveillance systems.…”
Section: Related Workmentioning
confidence: 99%
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“…The work of Javed et al [7] and that of Stauffer and Tieu [5] for example, is directly related to the development of multi-target tracking systems. Similarly, one of the stated goals of Ellis et al [8,9] is to enhance the tracking performance of surveillance systems.…”
Section: Related Workmentioning
confidence: 99%
“…A number of researchers have looked at the problem of self-configuring a multi-sensor network through the exploitation of motion in the environment [3][4][5][6]. These efforts generally assume vision-based sensors and focus on issues regarding the processing of observations collected from distributed sensors.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Aspects of SLAT are also related to work in computer vision in multiple camera tracking and calibration [5,13,15], which as largely focused on overlapping camera configurations, and structure from motion (SFM) [8,12,14]. Given a sequence of images of a static scene captured by a moving camera, the goal of SFM is to recover the 3D geometry of the scene and the trajectory of the camera motion, typically by using correspondences between feature points.…”
Section: Related Workmentioning
confidence: 99%
“…The proliferation of large camera networks in recent past has ushered research in multiple camera analysis, and several methods have been proposed to address the problems of calibration, tracking and activity analysis with some degree of reliability [1,2,3,4,5,6,7]. However, despite significant efforts in this area, the majority of literature has been confined to solution of problems like object correspondence and activity correlation between visible objects, while estimation and inference of object behaviors in unobservable regions between disjoint cameras has mainly remained unexplored.…”
Section: Introductionmentioning
confidence: 99%