Browse > Article

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

Jeon, Ji-Hye ((주)하이트론씨스템즈 지능형시스템팀)
Park, Jong-Hwa ((주)하이트론씨스템즈 지능형시스템팀)
Jeong, Cheol-Jun ((주)하이트론씨스템즈 지능형시스템팀)
Kang, In-Goo ((주)하이트론씨스템즈 지능형시스템팀)
An, Tae-Ki (한국철도기술연구원 도시철도표준화연구단)
Park, Goo-Man (서울산업대학교 매체공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.1C, 2010 , pp. 24-32 More about this Journal
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.
Keywords
Intelligent surveillance system; Abandoned object; Removed object; object detection; GMM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 김영주, "배경 분리 기반의 실시간 객체 추적을 위한 개선된 적응적 배경 혼합 모델", 한국컴퓨터 정보학회 논문지, 제 10권 6호, pp.187-193, 2005년.
2 Paolo Spagnolo, Andrea Caroppo, Marco Leo, Tommaso Martiriggiano and Tiziana D'Orazio, "An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets", Video and Signal Based Surveillance, AVSS '06, 2006.
3 S. Guler and M. K. Farrow, :"Abandoned Object Detection in Crowded Places", IEEE International Workshop on PETS, pp.99-106, 2006.
4 Alvaro Bayona, Juan Carlos SanMigue and Jose M. Martinez, "Comparative evaluation of stationary foreground object detection algorithms based on background subtraction techniques", Advanced Video and Signal Based Surveillance(AVSS), pp25-30, 2009.
5 Porikli, F., Ivanov, Y. and Haga, T. "Robust Abandoned Object Detection Using Dual Foregrounds", Journal on Advances in Signal Processing, art. 30, 11 pp., 2008.
6 P. L. Venetianer, Z. Zhang, W. Yin and A. J. Lipton, "Stationary Target Detection using The Objectvideo Surveillance System", Advanced Video and Signal Based Surveillance(AVSS), pp.242-247, 2007.
7 Chih-Yang Lin and Wen-Hao Wang, "An Abandoned Objects Management System Based on the Gaussian Mixture Model", IEEE Computer Society, International Conference on Convergence and Hybrid Information Technology, pp.169-175, 2008.
8 Chris Stauffer and W.E.L Grimson, "Adaptive background mixture models for real-time tracking", in Proceedings CVPR, Vol. 2, pp.246-252, 1999.
9 Ying-li Tian, Rogerio Feris and Arun Hampapur, "Real-Time Detection of Abandoned and Removed Objects in Complex Environments", in The Eighth International Workshop on Visual Surveillance - VS2008, Marseille : France, 2008.
10 Liao,H-H., Chang,J-Y. and Chen, L-G. "A localized Approach to abandoned luggage detection with Foreground-Mask sampling", Proc. of AVSS 2008, pp. 132-139.