Title
Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios
Abstract
Multiple-target tracking is a challenging field specially when dealing with uncontrolled scenarios. Two common approaches are often used, one based on low-level techniques to detect each object size, position and velocity, and other based on high-level techniques that deal with object appearance. None of these methods can deal with all possible problems in multiple-target tracking: environment occlusions, both total and partial, and collisions, such as grouping and splitting events. So one solution is to merge these techniques to improve their performance. Based on an existing hierarchical architecture, we present a novel technique that can deal with all the mentioned problems in multiple tracking targets. Blob detection, low-level tracking using adaptive filters, high-level tracking based on a fixed pool of histograms and an event management that can detect every collision event and performs occlusion recovery are used to be able to track every object during the time they appear within the scene. Experimental results show the performance of this technique under multiple situations, being able to track every object in the scene without losing their initial identification. The speed processing is higher than 50 frames, which allows it to be used under real-time scenarios.
Year
DOI
Venue
2013
10.1016/j.eswa.2012.08.025
Expert Syst. Appl.
Keywords
Field
DocType
object size,high-level tracking,multiple-target tracking,event management,multiple tracking target,low-level tracking,high-level technique,surveillance scenario,low-level technique,hierarchical framework,object appearance,collision event,adaptive filters
Histogram,Computer vision,Event management,Computer science,Tracking system,Collision,Video tracking,Adaptive filter,Blob detection,Artificial intelligence,Merge (version control)
Journal
Volume
Issue
ISSN
40
4
0957-4174
Citations 
PageRank 
References 
10
0.47
22
Authors
4
Name
Order
Citations
PageRank
Brais Cancela1669.19
M Ortega223537.13
A. FernáNdez3182.10
Manuel G. Penedo418535.91