A Review of the Detection Methodologies of Multiple Human Tracking & Action Recognition in a Real Time Video Surveillance

被引：0
|
作者：
Nanaware, Varsha Shrirang [1 ]
Nerkar, Mohan Harihar [2 ]
Patil, C. M. [3 ]
机构：
[1] VTU RRC, Belagavi, Karnataka, India
[2] Govt Coll Engn, Jalgaon, Maharashtra, India
[3] VVCE, ECE Dept, Mysore, Karnataka, India
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI) | 2017年
关键词：
Human tracking; Video Surveillance; Real time; Image Processing; Segmentation; Robustness; Feature extraction; Moving objects;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Human tracking & action recognition is an important research area in computer vision or what is called as real time video processing along with potential applications in many other fields such as augment reality, human-machine interaction, and advanced driver assistance systems and so on. Despite a lot of progress in the field, visual tracking remains a difficult problem due to many challenges. In this survey paper, a brief review of the research work that is being be done in the field of multiple human tracking & action recognition is being presented along with some of their drawbacks.
引用
收藏
页码：2484 / 2489
页数：6
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