Combining Texture and Edge Planar Trackers based on a local Quality Metric

• A new probabilistic tracking framework for integrating visual cues is presented here.

• The framework allows selection of “good’’ features for each cue, along with factors of their important “goodness” factors.

• Two particle filter trackers run independently. Using either texture or edge cues.

• The output of the master tracker is computed by democratic integration using the important factors.

A.H. Abdul HafezComputer Science & Engg. Dept., Osmania University, Hyderabad, India

Visesh Chari and C.V. JawaharCVIT, International Institute of Information Technology, Hyderabad, India