@article{(Open Science Index):https://publications.waset.org/pdf/1574,
	  title     = {Object Tracking using MACH filter and Optical Flow in Cluttered Scenes and Variable Lighting Conditions},
	  author    = {Waqar Shahid Qureshi and  Abu-Baqar Nisar Alvi},
	  country	= {},
	  institution	= {},
	  abstract     = {Vision based tracking problem is solved through a
combination of optical flow, MACH filter and log r-θ mapping.
Optical flow is used for detecting regions of movement in video
frames acquired under variable lighting conditions. The region of
movement is segmented and then searched for the target. A template
is used for target recognition on the segmented regions for detecting
the region of interest. The template is trained offline on a sequence of
target images that are created using the MACH filter and log r-θ
mapping. The template is applied on areas of movement in
successive frames and strong correlation is seen for in-class targets.
Correlation peaks above a certain threshold indicate the presence of
target and the target is tracked over successive frames.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {3},
	  number    = {12},
	  year      = {2009},
	  pages     = {2340 - 2343},
	  ee        = {https://publications.waset.org/pdf/1574},
	  url   	= {https://publications.waset.org/vol/36},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 36, 2009},
	}