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We propose a method for tracking groups from single and multiple cameras with disjointed fields of view. Our formulation follows the tracking-by-detection paradigm in which groups are the atomic entities and are linked over time to form long and consistent trajectories. To this end, we formulate the problem as a supervised clustering problem in which a structural SVM classifier learns a similarity...
Autonomous micromanipulation has a great potential to impact every research field concerning objects at a small scale. In this paper, we report our work on detection and tracking of a transparent SU-8 microchip in 3D Cartesian space during micromanipulation. Conditions such as occlusion, variant object orientation and poor edge prominence hinder the implementation of conventional vision algorithms...
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