High Accuracy based Video Surveillance system by Local Mean-Based K-Nearest Centroid Neighbour Algorithm

被引：0
|
作者：
Ruchikakaushik [1 ]
Sharma, Anil Kumar [2 ]
机构：
[1] Digital Commun, Alwar, India
[2] Inst Engn & Technol, Alwar, India
来源：
2018 4TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT) | 2018年
关键词：
video surveillance systems; surveillance applications; MATLAB; LMKNCN;
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：
In recent times, there has been a tremendous increase in criminal and terrorist activities around the globe. Therefore in light of the increasing number of such events, there has arisen a need for a 24*7 surveillance system that is governed by computerized monitoring. These systems work on the basis of machine learning that recognizes harmful activities or movements on the basis of the database that has been given to it. Automatically, when the system recognizes such activities it activates the alarm system. Here, we have implemented LMKNCN (Local Mean-Based K-Nearest Centroid Neighbour) through MATLAB.
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页数：6
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