An overview of sparse representation based action recognition in video

被引：0
|
作者：
Ushapreethi, P. [1 ]
Lakshmipriya, G. G. [1 ]
机构：
[1] VIT Univ, Sch Informat Technol & Engn, Vellore, Tamil Nadu, India
来源：
2018 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, AND SIGNAL PROCESSING (ICCCSP): SPECIAL FOCUS ON TECHNOLOGY AND INNOVATION FOR SMART ENVIRONMENT | 2018年
关键词：
Sparse representation; action recognition; locality coding; group sparse coding; sparse dictionaries;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Most of the action recognition researchers are undergoing intense study on sparse representation, due to its discriminative nature. The basis of the sparse representation is sparse coding, which give way for creating sparse dictionaries. The aim of this paper is to show the details about action recognition in video; the basics of sparse representation and its usage in action recognition; advancements in sparse representation; practical issues of recent sparse representation methods and future possibilities to solve such issues. This paper also provides various models and techniques used for the sparse representation based action recognition.
引用
收藏
页码：63 / 67
页数：5
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