NDLI: Interactive Feature Tracking using K-D Trees and Dynamic Programming

Content Provider	IEEE Xplore Digital Library
Author	Buchanan, A. Fitzgibbon, A.
Copyright Year	2006
Description	Author affiliation: University of Oxford, UK (Buchanan, A.)
Abstract	A new approach to template tracking is presented, incorporating three distinct contributions. Firstly, an explicit definition for a feature track is given. Secondly, the advantages of an image preprocessing stage are demonstrated and, in particular, the effectiveness of highly compressed image patch data stored in k-d trees for fast and discriminatory image patch searches. Thirdly, the k-d trees are used to generate multiple track hypotheses which are efficiently merged to give the optimal solution using dynamic programming. The explicit separation of feature detection and trajectory determination creates the basis for the novel use of k-d trees and dynamic programming. Multiple appearances and occlusion handling are seamlessly integrated into this framework. Appearance variation through the sequence is robustly handled in an iterative process. The work presented is a significant foundation for a powerful off-line feature tracking system, particularly in the context of interactive applications.
Starting Page	626
Ending Page	633
File Size	1625451
Page Count	8
File Format	PDF
ISBN	0769525970
ISSN	10636919
DOI	10.1109/CVPR.2006.158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dynamic programming Computer vision Robustness Image coding Mice Optical films Image motion analysis Feathers Tracking Radio access networks
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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