A Graph-Based, Multi-resolution Algorithm for Tracking Objects in Presence of Occlusions

One of the main difficult problem in video analysis is to track moving objects during a video sequence, especially in presence of occlusions. Unfortunately, almost all the different approaches work on a pixel-by-pixel basis, yielding them unusable in real-time situations as well as not much expressive at a semantic level of the video. We present in this paper a novel method of tracking objects through occlusions that exploits the wealth of information due to the spatial coherence between pixels, using a graph-based, multi-resolution representation of the moving regions. The experimental results show that the approach is promising. ᭧ 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

• Type: Conference
• Year: 2005
• Where: GBRPR
• Authors: Donatello Conte, Pasquale Foggia, Jean-Michel Jolion, Mario Vento
• Keywords: GBRPR 2005, Main Difficult Problem, Pattern Recognition Society, Video Sequence