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.

引用

页数：6

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