Paper Info
Title
Occlusion handling based on sub-blobbing in automated video surveillance system
Abstract
Object tracking with occlusion handling is a challenging problem in automated video surveillance. In particular, occlusion handling and tracking have been often considered as separate modules. This paper proposes a tracking method in the context of video surveillance, where occlusions are automatically detected and handled to solve ambiguities. Hence, the tracking process can continue to track the different moving objects correctly. The proposed approach is based on sub-blobbing, that is, blobs representing moving objects are segmented into sections whenever occlusions occur. These sub-blobs are then treated as blobs with the occluded ones ignored. By doing so, the tracking of objects has become more accurate and less sensitive to occlusions. We have also used a feature-based framework for identifying the tracked objects, where several flexible attributes were involved. Experiments on several videos have clearly demonstrated the success of the proposed method.
Year
DOI
Venue
2011
10.1145/1992896.1992914
C3S2E
Keywords
Field
DocType
automated video surveillance,video surveillance,tracking method,object tracking,tracking process,occlusion handling,feature-based framework,automated video surveillance system,challenging problem,features
Computer vision,Occlusion,Computer science,Video tracking,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
13
Authors
2
Name
Order
Citations
PageRank
Mohammad Omair Alam100.34
Boubakeur Boufama216222.02