Person Detection in Video Surveillance

被引：0
|
作者：
Sumalan, Andrada Livia [1 ]
Ichim, Loretta [1 ]
Popescu, Dan [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Automat Control & Comp, Bucharest, Romania
来源：
PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI) | 2018年
关键词：
person detection; motion detection; video surveillance; perimeter complexity;
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：
This paper presents a method for motion detection and person recognition from a video stream generated by a surveillance system. The goal of this work is to implement an algorithm that differentiates a person form other types of forms. Motion detection is realized based on the comparison of two frames extracted at a specific time interval from the real-time video stream. Based on the resulted comparison, a binarization algorithm and a region growing algorithm are used to extract all independent moving objects in the motion case. For each extracted region, a series of geometric features are computed to differentiate the form of a person from other detected forms.
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页数：6
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