Intelligent System for detecting, Modeling, Classification of human behavior using image processing, machine vision and OpenCV
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 4
Abstract
Surveillance Cameras has proven to be a key factor in enhancing the public security in many countries around the world . In spite of advancements in image processing and machine vision techniques very less is applied to actual implementation of such surveillance systems. Traditional methods wherein stand alone cameras provide just live feed to the observer are still deployed at most of the places but the need of today’s world is to add some intelligence to this systems. In this paper we will be focusing on important features to build an intelligent surveillance system and its architecture using computer vision libraries of opencv. Background Subtraction , segmentation, tracking and human behavior analysis are step by step implemented to build such a system. A detailed analysis of background subtraction methods and their comparison is provided. Lastly we discuss the future work which can lead to human behavior analysis like crowd counting, intrusion detection, loitering , crowd movement , vehicle tracking and all.
Authors and Affiliations
Niraj Babasaheb Gadhe, , Prof: Dr. B. K. Lande, , Prof: Dr. B. B. Meshram,
Keywords
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