Abstract
Automated surveillance systems observe the environment utilizing cameras. The observed scenario is then analysed using motion detection, crowd behaviour, individual behaviour, interaction between individuals, crowds and their surrounding environment. These automatic systems accomplish multitude of tasks which include, detection, interpretation, understanding, recording and creating alarms based on the analysis. Till recent, studies have achieved enhanced monitoring performance along with avoiding possible human failures by manipulation of different features of these systems. This paper presents a comprehensive review of such video surveillance systems as well as the components used with them. The description of the architectures used is presented which follows the most required analyses in these systems. For the bigger picture and wholesome view of the system, existing surveillance systems were compared in terms of characteristics, advantages, and difficulties which are tabulated in this paper. Adding to this, future trends are discussed which charts a path into the upcoming research directions.
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