Abstract
Intelligent video surveillance has gained increasing needs and attentions due to its greatly potential in security and social governance. In this paper, we integrate three parts of video surveillance system together, including people detection, tracking and person re-identification to construct a systematic research framework. Following a brief introduction, we first present current problems and difficulties of people detection, tracking and re-identification. Then the state-of-the-art deep learning based algorithms in recent years are summarized and evaluated. At last we put forward the prospect of current research directions, providing a relatively comprehensive knowledge base for the future development of intelligent surveillance video systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
