In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kern...
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...