On-Line Visual Tracking with Occlusion Handling

Game-theoretical occlusion handling for multi-target visual tracking

Multi-target visual tracking is a challenge because of data association and mutual occlusion in the interacting targets. This paper presents a Gaussian mixture probability hypothesis density based multitarget visual tracking system with game-theoretical occlusion handling. Firstly, the spatial constraint based appearance model with other interacting targets’ interferences is modeled. Then, a tw...

Two View Tracking with Occlusion Handling

This paper introduces a two view tracking method which uses the homography relation between the two views to handle occlusions. An adaptive appearance-based model is incorporated in a particle filter to realize robust visual tracking. Occlusion is detected using robust statistics. When there is occlusion in one view, the homography from this view to other views is estimated from previous tracki...

Mean Shift Object Tracking with Occlusion Handling

An object tracking algorithm using the Mean Shift framework is presented which is largely invariant to both partial and full occlusions, complex backgrounds and change in scale. Multiple features are used to gain a descriptive representation of the target object. Image moments are used to determine the scale of the target object. A kalman filter is used to successfully track the target object t...

On-line adaptive visual tracking

Real-time visual tracking of 3D objects with dynamic handling of occlusion

Position-based visual servoing requires estimating and tracking the three dimensional position and orientation of a 3-D target object from camera images. This paper describes a novel approach to the problem that consists of two steps: First, a set of spatial pose constraints is derived from image features, by means of which 3-D object pose is calculated with an efficient model-fitting algorithm...