Reference : HMPMR strategy for real-time tracking in aerial images, using direct methods

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/18864

Title :	HMPMR strategy for real-time tracking in aerial images, using direct methods
Language :	English
Author, co-author :	Martinez Luna, Carol [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics]
	Campoy, Pascual [Universidad Politecnica de Madrid > Centro de Automática y Robótica (CAR) UPM-CSIC]
	Fernando Mondragon, Ivan [Pontificia Universidad Javeriana > Department of Industrial Engineering, Faculty of Engineering]
	Sanchez Lopez, Jose Luis [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
	Olivares Mendez, Miguel Angel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Publication date :	1-Jul-2014
Journal title :	Machine Vision and Applications
Publisher :	Springer
Volume :	25
Issue/season :	5
Pages :	1283-1308
Peer reviewed :	Yes (verified by ORBilu)
Audience :	International
ISSN :	0932-8092
e-ISSN :	1432-1769
Keywords :	[en] Pattern Recognition ; Image Processing and Computer Vision ; Communications Engineering, Networks
Abstract :	[en] The vast majority of approaches make use of features to track objects. In this paper, we address the tracking problem with a tracking-by-registration strategy based on direct methods. We propose a hierarchical strategy in terms of image resolution and number of parameters estimated in each resolution, that allows direct methods to be applied in demanding real-time visual-tracking applications. We have called this strategy the Hierarchical Multi-Parametric and Multi-Resolution strategy (HMPMR). The Inverse Composition Image Alignment Algorithm (ICIA) is used as an image registration technique and is extended to an HMPMR-ICIA. The proposed strategy is tested with different datasets and also with image data from real flight tests using an Unmanned Aerial Vehicle, where the requirements of direct methods are easily unsatisfied (e.g. vehicle vibrations). Results show that using an HMPMR approach, it is possible to cope with the efficiency problem and with the small motion constraint of direct methods, conducting the tracking task at real-time frame rates and obtaining a performance that is comparable to, or even better than, the one obtained with the other algorithms that were analyzed.
Permalink :	http://hdl.handle.net/10993/18864
DOI :	10.1007/s00138-014-0617-2
Other URL :	http://dx.doi.org/10.1007/s00138-014-0617-2

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