Online Subjective Feature Selection For Occlusion Management In Tracking Applications

Most of the state-of-the-art tracking algorithms are prone to error when dealing with occlusions, especially when the involved moving objects are hardly discernible in appearance. In this paper, we propose a multi-object particle filtering tracking framework particularly suited to manage the occlusion problem. The presented solution consists in the

• Type: Conference
• Year: 2009
• Where: ICIP
• Keywords: ICIP 2009, Image Processing, Multi-object Particle, State-of-the-art Tracking Algorithms