DocumentCode :
2294685
Title :
Multiple Cameras Using Real Time Object Tracking for Surveillance and Security System
Author :
Kumar, K. Susheel ; Prasad, Shitala ; Saroj, Pradeep K. ; Tripathi, R.C.
Author_Institution :
Dept. of IT, Indian Inst. of IT, Allahabad, India
fYear :
2010
fDate :
19-21 Nov. 2010
Firstpage :
213
Lastpage :
218
Abstract :
In this paper we propose multiple cameras using real time tracking for surveillance and security system. It is extensively used in the research field of computer vision applications, like that video surveillance, authentication systems, robotics, pre-stage of MPEG4 image compression and user inter faces by gestures. The key components of tracking for surveillance system are extracting the feature, background subtraction and identification of extracted object. Video surveillance, object detection and tracking have drawn a successful increased interest in recent years. A object tracking can be understood as the problem of finding the path (i.e. trajectory) and it can be defined as a procedure to identify the different positions of the object in each frame of a video. Based on the previous work on single detection using single stationary camera, we extend the concept to enable the tracking of multiple object detection under multiple camera and also maintain a security based system by multiple camera to track person in indoor environment, to identify by my proposal system which consist of multiple camera to monitor a person. Present study mainly aims to provide security and detect the moving object in real time video sequences and live video streaming. Based on a robust algorithm for human body detection and tracking in videos created with support of multiple cameras.
Keywords :
feature extraction; image sequences; object detection; video cameras; video signal processing; video surveillance; background subtraction; feature extraction; multiple cameras; object detection; object identification; realtime object tracking; security system; video sequences; video surveillance system; Real time object detection; Real time object tracking; object identification; surveillance system and background subtraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
Conference_Location :
Goa
ISSN :
2157-0477
Print_ISBN :
978-1-4244-8481-2
Electronic_ISBN :
2157-0477
Type :
conf
DOI :
10.1109/ICETET.2010.30
Filename :
5698322
Link To Document :
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