Layered Graphical Models for Tracking Partially-Occluded Objects
Data(s) |
20/10/2011
20/10/2011
01/06/2008
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Resumo |
Partial occlusions are commonplace in a variety of real world computer vision applications: surveillance, intelligent environments, assistive robotics, autonomous navigation, etc. While occlusion handling methods have been proposed, most methods tend to break down when confronted with numerous occluders in a scene. In this paper, a layered image-plane representation for tracking people through substantial occlusions is proposed. An image-plane representation of motion around an object is associated with a pre-computed graphical model, which can be instantiated efficiently during online tracking. A global state and observation space is obtained by linking transitions between layers. A Reversible Jump Markov Chain Monte Carlo approach is used to infer the number of people and track them online. The method outperforms two state-of-the-art methods for tracking over extended occlusions, given videos of a parking lot with numerous vehicles and a laboratory with many desks and workstations. |
Identificador | |
Idioma(s) |
en_US |
Publicador |
Boston University Computer Science Department |
Relação |
BUCS Technical Reports;BUCS-TR-2008-008 |
Tipo |
Technical Report |