TY - GEN
T1 - Multi-camera surveillance with visual tagging and generic camera placement
AU - Zhao, Jian
AU - Cheung, Sen Ching S.
PY - 2007
Y1 - 2007
N2 - A common goal in many vision applications is to identify and track human objects with distinctive visual features or "tags". Examples range from identifying distinct soccer player by his jersey number to locating the face of an individual that produces a match in a face recognition system. In this paper, we made two contributions to this "visual tagging" problem. First, we propose a general framework for camera placement. This framework can measure the performance of any particular camera placement using simulation method. The optimal placement strategy can be obtained by iterative grid-based linear programming. Second, we focus on tracking specific colored tags used in a privacy-protecting visual surveillance network. By building a color classifier for tag detection and using epipolar geometry between multiple cameras for occlusion handling, our proposed system can identify, track and visually obfuscate individuals whose privacy in the surveillance video needs to be protected.
AB - A common goal in many vision applications is to identify and track human objects with distinctive visual features or "tags". Examples range from identifying distinct soccer player by his jersey number to locating the face of an individual that produces a match in a face recognition system. In this paper, we made two contributions to this "visual tagging" problem. First, we propose a general framework for camera placement. This framework can measure the performance of any particular camera placement using simulation method. The optimal placement strategy can be obtained by iterative grid-based linear programming. Second, we focus on tracking specific colored tags used in a privacy-protecting visual surveillance network. By building a color classifier for tag detection and using epipolar geometry between multiple cameras for occlusion handling, our proposed system can identify, track and visually obfuscate individuals whose privacy in the surveillance video needs to be protected.
KW - Camera placement
KW - Epipolar geometry
KW - Multi-camera tracking
KW - Privacy protection
KW - Visual tags
UR - http://www.scopus.com/inward/record.url?scp=47349131492&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47349131492&partnerID=8YFLogxK
U2 - 10.1109/ICDSC.2007.4357532
DO - 10.1109/ICDSC.2007.4357532
M3 - Conference contribution
AN - SCOPUS:47349131492
SN - 1424413540
SN - 9781424413546
T3 - 2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC
SP - 259
EP - 266
BT - 2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC
T2 - 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC-07
Y2 - 25 September 2007 through 28 September 2007
ER -