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  Visibility analysis and sensor planning in dynamic environments (2004) [8 citations — 2 self]

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by Anurag Mittal, Larry S. Davis
In European Conference on Computer Vision
http://www.umiacs.umd.edu/~anurag/eccv2004.pdf
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Abstract:

Abstract. We analyze visibility from static sensors in a dynamic scene with moving obstacles (people). Such analysis is considered in a probabilistic sense in the context of multiple sensors, so that visibility from even one sensor might be sufficient. Additionally, we analyze worst-case scenarios for high-security areas where targets are non-cooperative. Such visibility analysis provides important performance characterization of multi-camera systems. Furthermore, maximization of visibility in a given region of interest yields the optimum number and placement of cameras in the scene. Our analysis has applications in surveillance- manual or automated- and can be utilized for sensor planning in places like museums, shopping malls, subway stations and parking lots. We present several example scenes- simulated and real- for which interesting camera configurations were obtained using the formal analysis developed in the paper. 1

Citations

946 Pattern classification – Duda, Hart, et al. - 2001
222 Learning patterns of activity using real-time tracking – Stauffer, Grimson - 2000
138 1989, Very fast simulated re-annealing – Ingber
73 Automatic sensor placement from vision task requirements – Cowan, Kovesi - 1988
67 Algorithms for cooperative multisensor surveillance – Collins, Lipton, et al. - 2001
67 M2 Tracker: A Multi-View Approach to Segmenting and Tracking People in a Clutter Scene – Mittal, Davis
50 Recovering Shape by Purposive Viewpoint Adjustment – Kutulakos, Dyer - 1994
43 Tracking human motion in structured environments using a distributed-camera system – Cai, Aggarwal - 1999
32 Plan-view trajectory estimation with dense stereo background models – Darrell, Demirdjian, et al. - 2001
32 A Solution to the Next Best View Problem for Automated Surface Acquisition – Pito - 1999
29 Computing occlusion-free viewpoints – Tarabanis, Tsai, et al. - 1996
24 Gallery Theorems and Algorithms – Art - 1987
23 A Bayesian Approach to Optimal Sensor Placement – Cameron, Durrant-Whyte - 1990
17 Constraint-Based Sensor Planning for Scene Modeling – Reed, Allen - 2000
17 Automatic sensor and light source positioning for machine vision – Yi, Haralick, et al. - 1990
16 Global Search Method for Solving Nonlinear Optimization Problems. University of Illinois at Urbana-Champaign – Shang - 1997
15 Human tracking in multiple cameras – Khan, Javed, et al. - 2001
14 Counting People from multiple cameras – Kettnaker, Zabih - 1999
8 Sensor planning for 3D object search – YE, TSOTSOS - 1999
7 Task-oriented generation of visual sensing strategies – Miura, Ikeuchi - 1995