Title
ENMIM: energetic normalized mutual information model for online multiple object tracking with unlearned motions
Abstract
In multiple-object tracking, the lack in prior information limits the association performance. Furthermore, to improve tracking, dynamic models are needed in order to determine the settings of the estimation algorithm. In case of complex motions, the dynamic cannot be learned and the task of tracking becomes difficult. That is why on-line spatio-temporal motion estimation is of crucial importance. In this paper, we propose a new model for multiple target online tracking: the Energetic Normalized Mutual Information Model (ENMIM). ENMIM combines two algorithms: (i) Quadtree Normalized Mutual Information, QNMI, a recursive partitioning methodology involving a region motion extraction; (ii) an energy minimization approach for data association adapted to the constraint of lack in prior information about motion and based on geometric properties. ENMIM is able to handle typical problems such as large inter-frame displacements, unlearned motions and noisy images with low contrast. The main advantage of ENMIM is its parameterless and its capacity to handle noisy multi-modal images without exploiting any pre-processing step.
Year
DOI
Venue
2007
10.1007/978-3-540-74607-2_87
ACIVS
Keywords
Field
DocType
online multiple object tracking,energetic normalized mutual information,complex motion,quadtree normalized mutual information,multiple-object tracking,association performance,multiple target online tracking,prior information,region motion extraction,on-line spatio-temporal motion estimation,unlearned motion,motion estimation,energy minimization,recursive partitioning
Computer vision,Pattern recognition,Computer science,Normalized mutual information,Data association,Recursive partitioning,Video tracking,Dynamic models,Artificial intelligence,Motion estimation,Energy minimization,Quadtree
Conference
Volume
ISSN
ISBN
4678
0302-9743
3-540-74606-4
Citations 
PageRank 
References 
1
0.35
6
Authors
3
Name
Order
Citations
PageRank
Abir El Abed192.95
Séverine Dubuisson216824.12
Dominique Béréziat35413.44