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

页码：680 / 683

页数：4

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