Intelligent Electronic Surveillance Systems for Personal and Team Security in Public Places
Ashwani Kumar Aggarwal
Dr. Ashwani Kumar Aggarwal, Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India.
Manuscript received on June 21, 2017. | Revised Manuscript received on June 26, 2017. | Manuscript published on July 05, 2017. | PP: 53-55 | Volume-7 Issue-3, July 2017. | Retrieval Number: C3040077317/2017©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Public security is of prime importance for establishing law and order in any society. With the advent of cheap and fast electronic systems, public security is prone to fall in the control of intruders. Whilst many electronic surveillance systems available in market claim to work effectively, their operation is questionable in crowded places where the subject under surveillance is occluded under clutter. Under such challenging task, computer vision techniques are very helpful which work on foreground segmentation of captured images to remove clutter. Further, images are preprocessed before applying many machine learning methods to log in the details of person behavior. Action recognition techniques are then used to detect unusual behavior which helps in personal security in public places.
Keywords: Artificial intelligence, computer vision, database, descriptors, feature points, image processing, machine learning, optimization, electronic surveillance.