%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