Objects in the world exhibit complex interactions. When captured in a video sequence, some
interactions manifest themselves as occlusions. A visual tracking system must be able to …

We present a robust object tracking algorithm that handles spatially extended and
temporally long object occlusions. The proposed approach is based on the concept of …

A new approach to tracking weakly modeled objects in a semantically rich domain is
presented. We refer to our method as closed-world tracking. A closed-world is a space-time …

Occlusion is a difficult problem for appearance-based target tracking, especially when we
need to track multiple targets simultaneously and maintain the target identities during …

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 …

We propose a framework for learning robust, adaptive, appearance models to be used for
motion-based tracking of natural objects. The model adapts to slowly changing appearance …

A common difficulty encountered in tracking applications is how to track an object that
becomes totally occluded, possibly for a significant period of time. Another problem is how to …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Occlusion is a significant challenge for many tracking algorithms. Most current methods can
track through transient occlusion, but cannot handle significant extended occlusion when the …

We propose a new tracking technique that is able to capture non-rigid motion by exploiting a
space-time rank constraint. Most tracking methods use a prior model in order to deal with …