Title
A survey and taxonomy on intelligent surveillance from a system perspective.
Abstract
Recent proliferation of surveillance systems is mostly attributed to advances in both image-processing techniques and hardware enhancement of smart cameras, as well as the ubiquity of sensor-driven architectures. Owing to these capabilities, new aspects are coming to the forefront. This paper addresses the current state-of-the-art and provides researchers with an overview of existing surveillance solutions, analyzing their properties as a system and drawing attention to relevant challenges when developing, deploying and managing them. Also, some of the more prominent application domains are highlighted here. In an effort to understand the development of the advanced solutions, based on their most distinctive characteristics, we propose a taxonomy for surveillance systems to help classify them and reveal gaps in existing research. We conclude by identifying promising future research lines.
Year
DOI
Venue
2018
10.1017/S0269888918000048
KNOWLEDGE ENGINEERING REVIEW
Field
DocType
Volume
Computer science,Knowledge management
Journal
33
ISSN
Citations 
PageRank 
0269-8889
0
0.34
References 
Authors
43
4
Name
Order
Citations
PageRank
Radu-Casian Mihailescu1207.45
Paul Davidsson231553.19
Ulrik Eklund318213.59
Jan A. Persson414519.37