期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：5
页码：5852-5858
DOI：10.15680/IJIRSET.2018.0705159
出版社：S&S Publications
摘要：Video surveillance has been in use to monitor security sensitive areas such as banks, department stores,
highways, crowded public places and borders. The advance in computing power, availability of large-capacity storage
devices and high speed network infrastructure paved the way for cheaper, multi sensor video surveillance systems.
Automated surveillance systems are of critical importance for the field of security. The task of reliably detecting and
tracking moving objects in surveillance video, which forms a basis for higher level intelligence applications, has not
fully solved and has many open questions. Segmentation, detection, and tracking of multiple objects of a known class
are a fundamental problem in computer vision. This Survey focuses on detection and tracking of human in real time
monocular video captured for the purpose of visual surveillance. Contemporary research work for the last decade has
been thoroughly reviewed in this paper. This review has been intended for the monocular video captured online from
still camera having moderate to complex background. Camera may be located in indoor as well as outdoor
environment.
关键词：Video Surveillance; Human Detection; Human Tracking; Computer Vision;
