The Background Subtraction Problem for Video Surveillance Systems
نویسندگان
چکیده
This paper reviews papers on tracking people in a video surveillance system, and it presents a new system designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems. 1 Reveal Ltd., Level 1, Tudor Mall, 333 Remuera Rd, Auckland, New Zealand 2 CITR, Department of Computer Science,Tamaki Campus, University of Auckland, Private Bag 92019, Auckland, New Zealand The Background Subtraction Problem for Video Surveillance Systems Alan McIvor, Qi Zang, and Reinhard Klette a Reveal Ltd., Level 1, Tudor Mall, 333 Remuera Rd. b CITR, University of Auckland, Tamaki Campus, Building 731 Auckland, New Zealand Abstract. This paper reviews papers on tracking people in a video surveillance system, and it presents a new system designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems. This paper reviews papers on tracking people in a video surveillance system, and it presents a new system designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems.
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