A Survey of Multi Object Tracking and Detecting Algorithm in Real Scene use in video surveillance systems

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-29 Number-1
Year of Publication : 2015
Authors : Abouzar Ghasemi, C.N Ravi Kumar
  10.14445/22312803/IJCTT-V29P107

MLA

Abouzar Ghasemi, C.N Ravi Kumar "A Survey of Multi Object Tracking and Detecting Algorithm in Real Scene use in video surveillance systems". International Journal of Computer Trends and Technology (IJCTT) V29(1):31-39, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
There are now large networks of CCTV cameras collecting great amounts of image data, many of which deploy Pan-Tilt-Zoom (PTZ) controllable cameras. A multi-camera and multi-sensor system has potential both for gaining improved imaging quality and for capturing more relevant details .Such a system can also cause overflow of information and confusion if data content is not analyzed in real-time. Video Analytics is the emerging technology where Computer Vision and Pattern Recognition techniques are used to filter and manage real time CCTV videos for security and intelligent monitoring. Background subtraction, object detection, object tracking, re-identification, and behavior analysis are the most important components for a Video Analytics system. The scientist has some of the cutting edge technologies in this area, which exploit recent statistical and differential geometric theories and adapt them to challenging tasks for example, individuating eye directions, tracking groups of people, re-identifying individuals in different days that take place in real case scenarios. Detecting and tracking human beings in a given scene represents one of the most important and challenging tasks in computer vision. We are interested to consider some of powerful methods in these issues for their implications in videosurveillance and driver assistance systems.

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Keywords
Multi object tracking, Multi object detection, video surveillance system.