Spatio-temporal segmentation for video surveillance

被引：5
|
作者：
Sun, HZ [1 ]
Tan, TN [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
来源：
ELECTRONICS LETTERS | 2001年 / 37卷 / 01期
关键词：
D O I：
10.1049/el:20010036
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The automatic extraction of moving objects and construction of site models are key problems in video surveillance systems. A novel approach to segmenting moving objects from static scenes as well as acquiring background images automatically is presented. Experimental results on real video sequences demonstrate the robustness and accuracy of the algorithm.
引用
收藏
页码：20 / 21
页数：2
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