Paper Info
Title
Formulation, detection and application of occlusion states (Oc-7) in the context of multiple object tracking
Abstract
Occlusion is often thought of as a challenge for visual algorithms, specially tracking. Existing literature, however, has identified a number of occlusion categories in the context of tracking in ad hoc manner. We propose a systematic approach to formulate a set of occlusion cases by considering the spatial relations among object support(s) (projections on the image plane) with the detected foreground blob(s), to show that only 7 occlusion states are possible. We designate the resulting qualitative formalism as Oc-7, and show how these occlusion states can be detected and used effectively for the task of multi-object tracking under occlusion of various types. The object support is decomposed into overlapping patches which are tracked independently on the occurrence of occlusions. As a demonstration of the application of these occlusion states, we propose a reasoning scheme for selective tracker execution and object feature updates to track multiple objects in complex environments.
Year
DOI
Venue
2011
10.1109/AVSS.2011.6027318
Advanced Video and Signal-Based Surveillance
Keywords
Field
DocType
existing literature,multi-object tracking,foreground blob,occlusion state,complex environment,object feature,occlusion category,multiple object tracking,object support,multiple object,occlusion case,feature extraction,object tracking,spatial relation,computational modeling,silicon,computer model,cognition
Spatial relation,Computer vision,Object detection,Occlusion,Pattern recognition,Computer science,Image plane,Feature extraction,Video tracking,Artificial intelligence,Formalism (philosophy)
Conference
ISBN
Citations 
PageRank 
978-1-4577-0843-5
5
0.50
References 
Authors
6
3
Name
Order
Citations
PageRank
Guha, P.150.50
Mukerjee, A.250.50
V. K. Subramanian350.50