Video scene analysis using best basis wavelets and learning strategies

被引：0
|
作者：
Umamaheswaran, D [1 ]
Huang, J [1 ]
Palakal, M [1 ]
Suyut, S [1 ]
机构：
[1] IUPUI, Dept Comp & Informat Sci, Indianapolis, IN 46202 USA
来源：
PROCEEDINGS OF THE 6TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2002年
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：
This paper describes the use of optimal features generated through wavelet best basis decomposition for construction of decision trees (DTs) and self-organizing neural networks to identify camera position and cluster actions in/between video shots. The feasibility of our architecture using wavelet best basis and tree-structure representation on both classification and clustering has been shown on video surveillance sequence with different camera orientation and several subject motions.
引用
收藏
页码：680 / 683
页数：4
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