Intelligent multi-camera video surveillance: A review

被引：469

作者：

Wang, Xiaogang ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China

来源：

PATTERN RECOGNITION LETTERS | 2013年 / 34卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Multi-camera video surveillance; Multi-camera calibration; Topology of camera networks; Multi-camera tracking; Object re-identification; Multi-camera activity analysis; ACTIVE-VISION SYSTEM; TEXTURE CLASSIFICATION; ACTION RECOGNITION; SERVO CONTROL; TRACKING; PEOPLE; MOTION; CALIBRATION; RESOLUTION; SURFACES;

D O I：

10.1016/j.patrec.2012.07.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer vision, pattern recognition, signal processing, communication, embedded computing and image sensors. This paper reviews the recent development of relevant technologies from the perspectives of computer vision and pattern recognition. The covered topics include multi-camera calibration, computing the topology of camera networks, multi-camera tracking, object re-identification, multi-camera activity analysis and cooperative video surveillance both with active and static cameras. Detailed descriptions of their technical challenges and comparison of different solutions are provided. It emphasizes the connection and integration of different modules in various environments and application scenarios. According to the most recent works, some problems can be jointly solved in order to improve the efficiency and accuracy. With the fast development of surveillance systems, the scales and complexities of camera networks are increasing and the monitored environments are becoming more and more complicated and crowded. This paper discusses how to face these emerging challenges. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：3 / 19

页数：17

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