NDLI: Sensor planning for PTZ cameras using the probability of camera overload

Content Provider	IEEE Xplore Digital Library
Author	Yi Yao Chung-Hao Chen Abidi, B. Page, D. Koschan, A. Abidi, M.
Copyright Year	2008
Description	Author affiliation: Robot. & Intell. Syst. (IRIS) Lab., Univ. of Tennessee, Knoxville, TN, USA (Yi Yao; Chung-Hao Chen; Abidi, B.; Page, D.; Koschan, A.; Abidi, M.)
Abstract	Most existing sensor planning algorithms find it difficult to tackle the discrepancy between a PTZ camera¿s limited instant field of view (FOV) and panoramic achievable FOV. In this paper, we introduce the probability of camera overload to resolve this discrepancy and present a sensor planning algorithm for PTZ cameras under the same framework as static cameras. The resulting camera placement achieves the optimal balance between coverage and handoff success rate. Furthermore, our algorithm is able to incorporate the target¿s dynamics into sensor planning. As a result, the system¿s handoff success rate can be maintained in environments with various target densities. Experimental results and comparisons with a reference algorithm proposed by Erdem and Sclaroff verify the effectiveness of our algorithm via a significantly improved handoff success rate.
Starting Page	1
Ending Page	5
File Size	160330
Page Count	5
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor systems Intelligent sensors Robot vision systems Surveillance Image sensors Smart cameras Intelligent robots Probability Robot sensing systems Intelligent systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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