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A Survey on Moving Object Recognition and Tracking Systems

Author(s):

Ms. Rupali Narayan Wadekar , MIT College of Engineering, Pune; Dr. M. S. Nagmode, MIT College of Engineering, Pune

Keywords:

CMAC, HOG, MOD, Object recognition, PBG, SIFT

Abstract

In computer vision, detecting motion and tracking of an object is catching more interest of researchers. Real time object tracking is becoming a challenging ingredient in analysis of video imagery which is important in efficient and robust object tracking. Most video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Also, object recognition and tracking are the key operations in most of the security systems. In various security related systems like military applications where very tight security is necessary, intrusion detection is very important. Intrusion detection is a task of detecting inappropriate or anomalous activity. Intrusion detection is a process of monitoring and analyzing the events to detect signs of security problems. Intrusion detection is the most essential part of the security infrastructure. Intrusion detection system must reliably detect malicious activities. In order to have a good security or surveillance system, moving object recognition and tracking should be efficient. This paper reviews various attempts made to have better surveillance and security systems.

Other Details

Paper ID: IJSRDV3I2671
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 1271-1275

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