Publication Type : Journal Article
Source : International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181 Vol. 4 Issue 04, April-2015
Url : https://www.ijert.org/research/an-intelligent-visual-tracking-system-based-on-adaptive-mean-shift-tracking-method-IJERTV4IS040572.pdf
Keywords : Customized APG, DSS map and Adaptive Mean, Shift Tracking
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2015
Abstract : Generally all sparsity based models yields tracking performance in impressive manner, however computational complexity and low estimation of scale and orientation changes of target is aggravated in motion blur and background clutter challenges. In this paper, proposed method is based on a framework which projects templates matrix in candidates space. By selecting and weighting sparse coefficients, DSS map with pooling method leads to choose best candidate for tracking and by scale and orientation adaptive mean shift tracking method we can estimate scale, orientation of target adaptively. The result shows that better accuracy in tracking and robust to above challenges.
Cite this Research Publication : S.Veluchamy, P. Bhuvaneswari, "An Intelligent Visual Tracking System Based on Adaptive Mean Shift Tracking Method", International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181 Vol. 4 Issue 04, April-2015