A Study on Object Detection Algorithm for Abandoned and Removed Objects for Real-time Intelligent Surveillance System 


Vol. 35,  No. 1, pp. 24-32, Jan.  2010


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  Abstract

In this paper we proposed an object tracking system that detects the abandoned and removed objects, which is to be used in the intelligent surveillance applications. After the GMM based background subtraction and by using histogram method, the static region is identified to detect abandoned and removed objects. Since the system is implemented on DSP chip, it operates in realtime and is programmable. The input videos used in the experiment contain various indoor and outdoor scenes, and they are categorized into three different complexities; low, midium and high. By 10 times of experiment, we obtained high detection ratio at low and medium complexity sequences. On the high complexity video, successful detection ratio was relatively low because the scene contains crowdedness and repeated occlusion. In the future work, these complicated situation should be solved.

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  Cite this article

[IEEE Style]

J. Jeon, J. Park, C. Jeong, I. Kang, T. An, G. Park, "A Study on Object Detection Algorithm for Abandoned and Removed Objects for Real-time Intelligent Surveillance System," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 24-32, 2010. DOI: .

[ACM Style]

Ji-hye Jeon, Jong-hwa Park, Cheol-jun Jeong, In-goo Kang, Tae-ki An, and Goo-man Park. 2010. A Study on Object Detection Algorithm for Abandoned and Removed Objects for Real-time Intelligent Surveillance System. The Journal of Korean Institute of Communications and Information Sciences, 35, 1, (2010), 24-32. DOI: .

[KICS Style]

Ji-hye Jeon, Jong-hwa Park, Cheol-jun Jeong, In-goo Kang, Tae-ki An, Goo-man Park, "A Study on Object Detection Algorithm for Abandoned and Removed Objects for Real-time Intelligent Surveillance System," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 24-32, 1. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880