Abstract—In this paper, a novel framework for visual tracking of human body parts is introduced. The approach presented demonstrates the feasibility of recovering human poses with data from a single uncalibrated camera by using a limb-tracking syste
In the literature, there are claims stating that particle filters cannot be used for high dimensional systems because their random measures degenerate to single particles. While this may be true for standard implementations of particle filtering, it
The CONDENSATION algorithm is a kind of conditional density propagation method for motion tracking. This algorithm comnbines faetored sampling with learned dynamic models to propagate an entire probability distributes for object position and shape o
Object Detection, Tracking and Recognition for Multiple Smart Cameras.pdf Object Detection, Tracking and Recognition for Multiple Smart Cameras.pdf Object Detection, Tracking and Recognition for Multiple Smart Cameras.pdf
