Motion Segmentation Algorithm for Dynamic Scenes over H.264 Video

被引：0
|
作者：
Solana-Cipres, Cayetano J. [1 ]
Rodriguez-Benitez, Luis [1 ]
Moreno-Garcia, Juan [2 ]
Jimenez-Linares, Luis [1 ]
机构：
[1] Univ Castilla La Mancha, ORETO Res Grp, ES Informat, Paseo Univ 4, E-13071 Ciudad Real, Spain
[2] Univ Castilla La Mancha, E.U.I.T. Industr, E-4071 Toledo, Spain
来源：
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: APPLICATIONS, PT II | 2010年 / 81卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel algorithm to carry out the segmentation of moving objects in dynamic cameras is proposed. The developed system distinguishes what actions to execute in function of the environment conditions. In this way, the algorithm can segment objects in static and dynamic scenes and in ideal and noisy conditions. Therefore, the main target of this system is to cover the wider range of ambient situations. The segmentation algorithms have been developed for H.264 compressed domain because it is a modern encoder used in many modern multimedia applications and it can be decoded in real-time. Experimental results show promising performance in standard video sequences.
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页码：572 / +
页数：2
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