Abstract
Increased security concern has brought up an acute need for being thoughtful in the area of surveillance. The normal trend of surveillance followed is a grid of CCTV cameras with control centralized at a room, which is manually looked upon by a caretaker. Many a times there is no regular watch carried by caretaker, instead logs of video footage are maintained, which are used in the case of any mishaps occurring. This is the practice followed even at major sensitive places. This is a retroactive kind of situation handling. A solution to this could be a system that continuously has a watch using a camera and indentifies a human object and then tracks its movement to identify any uncommon behavior. The sudden responsive action (reaction) made by the caretaker is the expected design objective of the system. In this paper we have proposed a system that analyzes the real-time video stream from camera, identifying a human object anfd then tracking its movement if it tries to go out of the field of view (FoV) of the camera. That is, the camera changes its FoV with the movement of the object.
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Singh, D.K., Kushwaha, D.S. (2016). Tracking Movements of Humans in a Real-Time Surveillance Scene. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_45
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DOI: https://doi.org/10.1007/978-981-10-0451-3_45
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