Object Detection Algorithms for Video Surveillance Applications

被引：0
作者：
Raghunandan, Apoorva [1 ,2 ]
Mohana [1 ,2 ]
Raghav, Pakala [1 ,2 ]
Aradhya, H. V. Ravish [1 ,2 ]
机构：
[1] RV Coll Engn, Dept Elect & Commun Engn, Bangalore 560059, Karnataka, India
[2] RV Coll Engn, Dept Telecommun Engn, Bangalore 560059, Karnataka, India
来源：
PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP) | 2018年
关键词：
Colour Detection; Face Detection; Object Detection Algorithms; Skin Detection; Target Detection; Video Surveillance;
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：
Object Detection algorithms find application in various fields such as defence, security, and healthcare. In this paper various Object Detection Algorithms such as face detection, skin detection, colour detection, shape detection, target detection are simulated and implemented using MATLAB 2017b to detect various types of objects for video surveillance applications with improved accuracy. Further, various challenges and applications of Object Detection methods are elaborated.
引用
收藏
页码：563 / 568
页数：6
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