Detection algorithm of unattended package in surveillance sequence based on spatial-temporal accumulative frame difference pictures

Xianyi Ren; Hongjun Chen; Tianhuai Ding; Yan Liu

doi:10.1117/12.750484

15 November 2007 Detection algorithm of unattended package in surveillance sequence based on spatial-temporal accumulative frame difference pictures

Xianyi Ren, Hongjun Chen, Tianhuai Ding, Yan Liu

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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678643 (2007) https://doi.org/10.1117/12.750484
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Detecting unattended packages in scenes has several applications in video surveillance. This paper proposed an algorithm for automatically detecting unattended packages in surveillance video. This paper proposed an algorithm for automatically detecting unattended packages in surveillance video using information available in the special-temporal accumulative difference picture. The proposed algorithm is able to detect abandoned objects in the surveyed environment and then to alert a human operator whenever a dangerous situation is recognized. The algorithm can handle situations where the background of the scene is cluttered and not completely static but contains small motions such as tree branches and bushes. The experimental results show that the algorithm is able to identify static objects in real video sequences in real time and it is very promising.

Citation Download Citation

Xianyi Ren, Hongjun Chen, Tianhuai Ding, and Yan Liu "Detection algorithm of unattended package in surveillance sequence based on spatial-temporal accumulative frame difference pictures", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678643 (15 November 2007); https://doi.org/10.1117/12.750484

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KEYWORDS

Video surveillance

Surveillance

Detection and tracking algorithms

Video

Binary data

Environmental sensing

Automatic tracking

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