Human Action Recognition under Partial Occlusions

被引：0

作者：

Orrite, Carlos ^{[1
]}

Monforte, Pedro ^{[2
]}

Rodriguez, Mario ^{[1
]}

Herrero, Elias ^{[1
]}

机构：

[1] Univ Zaragoza, Inst Invest Ingn Aragon, E-50009 Zaragoza, Spain

[2] Indra Software Labs, Madrid, Spain

来源：

PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2013 | 2013年 / 7887卷

关键词：

Human Action Recognition; Optical Flow; HMM;

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 addresses the problem of human activity recognition under partial occlusions and viewpoint changes. We tackle with these problems by means of a novel temporal template denoted as Histogram of Normalized Optical Flow (HoNOF) and a set of HMM-based classifiers. Experiments have been conducted on the IXMAS data set for training and the EPFL-IXMAS data set for testing, showing the good behavior of this approach.

引用

页码：398 / 405

页数：8

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