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

Combining Texture and Edge Planar Trackers based on a local Quality Metric. A.H. Abdul Hafez Computer Science & Engg. Dept., Osmania University, Hyderabad, India Visesh Chari and C.V. Jawahar CVIT, International Institute of Information Technology, Hyderabad, India.

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

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  1. Combining Texture and Edge Planar Trackers based on a local Quality Metric A.H. Abdul Hafez Computer Science & Engg. Dept., Osmania University, Hyderabad, India Visesh Chari and C.V. JawaharCVIT, International Institute of Information Technology, Hyderabad, India • 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.

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