Motion history image: its variants and applications

被引：179
作者：
Ahad, Md. Atiqur Rahman [1 ]
Tan, J. K. [1 ]
Kim, H. [1 ]
Ishikawa, S. [1 ]
机构：
[1] Kyushu Inst Technol, Fac Engn, Kitakyushu, Fukuoka 8040012, Japan
来源：
MACHINE VISION AND APPLICATIONS | 2012年 / 23卷 / 02期
基金：
日本学术振兴会;
关键词：
MHI; MEI; Motion recognition; Action analysis; Computer vision; HUMAN-COMPUTER INTERACTION; HUMAN MOVEMENT; RECOGNITION; TRACKING; ENERGY; SEGMENTATION; SURVEILLANCE; COMPUTATION; SPEED;
D O I：
10.1007/s00138-010-0298-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The motion history image (MHI) approach is a view-based temporal template method which is simple but robust in representing movements and is widely employed by various research groups for action recognition, motion analysis and other related applications. In this paper, we provide an overview of MHI-based human motion recognition techniques and applications. Since the inception of the MHI template for motion representation, various approaches have been adopted to improve this basic MHI technique. We present all important variants of the MHI method. This paper points some areas for further research based on the MHI method and its variants.
引用
收藏
页码：255 / 281
页数：27
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