%0 Journal Article
	%A Waqar Shahid Qureshi and  Abu-Baqar Nisar Alvi
	%D 2009
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 36, 2009
	%T Object Tracking using MACH filter and Optical Flow in Cluttered Scenes and Variable Lighting Conditions
	%U https://publications.waset.org/pdf/1574
	%V 36
	%X 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.
	%P 2340 - 2343