Real-time video surveillance based on combining foreground extraction and human detection

Hui Chi Zeng*, Szu-Hao Huang, Shang Hong Lai

*此作品的通信作者

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

In this paper, we present an adaptive foreground object extraction algorithm for real-time video surveillance, in conjunction with a human detection technique applied in the extracted foreground regions by using AdaBoost learning algorithm and Histograms of Oriented Gradient (HOG) descriptors. Furthermore, a RANSAC-based temporal tracking algorithm is also applied to refine and trace the detected human windows in order to increase the detection accuracy and reduce the false alarm rate. The traditional background subtraction technique usually cannot work well for situations with lighting variations in the scene. The proposed algorithm employs a two-stage foreground/background classification procedure to perform background subtraction and remove the undesirable subtraction results due to shadow, automatic white balance, and sudden illumination change. Experimental results on some real surveillance video are shown to demonstrate the good performance of the proposed adaptive foreground extraction algorithm under a variety of different environments with lighting variations and human detection system.

原文English
主出版物標題Advances in Multimedia Modeling - 14th International Multimedia Modeling Conference, MMM 2008, Proceedings
發行者Springer Verlag
頁面70-79
頁數10
ISBN(列印)3540774076, 9783540774075
DOIs
出版狀態Published - 1月 2008
事件14th International Multimedia Modeling Conference, MMM2008 - Kyoto, Japan
持續時間: 9 1月 200811 1月 2008

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4903 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference14th International Multimedia Modeling Conference, MMM2008
國家/地區Japan
城市Kyoto
期間9/01/0811/01/08

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