Object Detection and Tracking Using Particle Filtering

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-22 Number-1
Year of Publication : 2015
Authors : Sanjay S. Sakharkar, S. D. Kamble, Dr. A.S.Khobragade
  10.14445/22312803/IJCTT-V22P104

MLA

Sanjay S. Sakharkar, S. D. Kamble, Dr. A.S.Khobragade "Object Detection and Tracking Using Particle Filtering". International Journal of Computer Trends and Technology (IJCTT) V22(1):16-19, April 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In many tracking application systems, object tracking is most challenging problem of computer vision field. In our proposed work we used the frame differencing and particle filter mechanism is used to track the object in a color video. We use the background subtraction based frame differencing mechanism to detect the object. Particle filter is use for effective object tracking in image sequences. Particle filter uses a color particles that is displayed on the object. To track the object using particle filter we concentrated on the color particles in the detected foreground object. Experimentation carried out a standard database i.e. viper, pets, caviar and human activity databases (such as Kth, Weizmann).

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Keywords
background substraction, object tracking, particle filter, object detection.