Research on- A Novel approach for Feature Extraction and Change Detection via Collaborative Observation model

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-22 Number-2
Year of Publication : 2015
Authors : Neha K. Holey, Bhakti Kurhade
  10.14445/22312803/IJCTT-V22P119

MLA

Neha K. Holey, Bhakti Kurhade "Research on- A Novel approach for Feature Extraction and Change Detection via Collaborative Observation model". International Journal of Computer Trends and Technology (IJCTT) V22(2):96-98, April 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Object tracking is an important task within the field of computer vision. The aim of object tracking and detection is to establish a correspondence between objects or object parts in consecutive frames and to extract temporal information about objects such as trajectory, posture, speed and direction. With the acquisition of an image, the first step is to distinguish objects of interest from the background. In this paper a Robust approach for Feature Extraction and Change Detection via Collaborative Observation model that integrates Pixel-Based Change Detection method and Pattern Classification based-Adaptive Background Update method is proposed.

References
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Keywords
Feature Extraction, Change Detection, Foreground, Background.