Automatic video object segmentation and shadow detection for surveillance applications

被引：0
|
作者：
Yang, H [1 ]
Zhang, L [1 ]
Tai, HM [1 ]
Wang, CJ [1 ]
机构：
[1] Chongqing Univ, Minist Educ, Key Lab High Voltage Engn & Elect New Technol, Chongqing 400044, Peoples R China
来源：
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVII, PTS 1AND 2 | 2004年 / 5558卷
关键词：
video object segmentation; surveillance; shadow detection; background subtraction;
D O I：
10.1117/12.557448
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents an object-based adaptive background update algorithm that is suitable for video surveillance in the dynamically changing environment. The background model is updated using information from not only the pixel change but also the currently detected object. The proposed method is able to deal with such problems as ghost and uncovered background. In addition, a shadow detection scheme is proposed to eliminate the shadow effect. Experimental results for three video sequences with different background situations are given to demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码：688 / 695
页数：8
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