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UNUSUAL EVENT DETECTION IN VIDEO SURVEILLANCE TO PROTECT NUISANCE IN SOCIETY USING COMPUTER VISION APPROACH AND MACHINE LEARNING
Purav Manoj Shah

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-11, pp.1-5, Nov 2017
DPI :-> 16.10046.IJCESR.2017.V4I11.15.2155



Abstract
Humans can easily understand actions in a complex scene by using visual system. One of the main purposes is to make machines to analyze and recognize human actions using motion information as well as different types of information. One of the challenging issues is the process of recognizing and understanding of human actions from videos owing to large variations in human appearance, pose changes, scale changes etc. The most important approach for human action recognition is to extract features from videos as representations. It is a main area of computer vision approach. The main applications include surveillance systems, patient monitoring systems, and a number of systems that involve interactions between persons and electronic devices such as human-computer interfaces. Almost all applications require an automatic recognition of high level activities.

Key-Words / Index Term
Multiple Kernel Learning, Most Informative Joints,

How to cite this article
Purav Manoj Shah , “UNUSUAL EVENT DETECTION IN VIDEO SURVEILLANCE TO PROTECT NUISANCE IN SOCIETY USING COMPUTER VISION APPROACH AND MACHINE LEARNING”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-11, pp.1-5, Nov 2017. DPI:16.10046.IJCESR.V4.I11.2155