We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...
Taking advantage of the delay tolerance for objects tracking sensor networks, we propose delay-tolerant trajectory compression (DTTC) technique, an efficient and accurate algorit...