@article{(Open Science Index):https://publications.waset.org/pdf/1686,
	  title     = {A Hybrid CamShift and l1-Minimization Video Tracking Algorithm},
	  author    = {Clark Van Dam and  Gagan Mirchandani},
	  country	= {},
	  institution	= {},
	  abstract     = {The Continuously Adaptive Mean-Shift (CamShift)
algorithm, incorporating scene depth information is combined with
the l1-minimization sparse representation based method to form a
hybrid kernel and state space-based tracking algorithm. We take
advantage of the increased efficiency of the former with the
robustness to occlusion property of the latter. A simple interchange
scheme transfers control between algorithms based upon drift and
occlusion likelihood. It is quantified by the projection of target
candidates onto a depth map of the 2D scene obtained with a low cost
stereo vision webcam. Results are improved tracking in terms of drift
over each algorithm individually, in a challenging practical outdoor
multiple occlusion test case.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {1},
	  year      = {2013},
	  pages     = {75 - 82},
	  ee        = {https://publications.waset.org/pdf/1686},
	  url   	= {https://publications.waset.org/vol/73},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 73, 2013},
	}