Open Science Research Excellence

Abu Baqar Nisar Alvi

Publications

1

Publications

1
1574
Object Tracking using MACH filter and Optical Flow in Cluttered Scenes and Variable Lighting Conditions
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.
Keywords:
Correlation filters, optical flow, log r-θ mapping.