NDLI: Discriminative Metric Preservation for Tracking Low-Resolution Targets

Content Provider	IEEE Xplore Digital Library
Author	Nan Jiang Heng Su Wenyu Liu Ying Wu
Copyright Year	1992
Abstract	Tracking low-resolution (LR) targets is a practical yet quite challenging problem in real video analysis applications. Lack of discriminative details in the visual appearance of the LR target leads to the matching ambiguity, which confronts most existing tracking methods. Although artificially enhancing the video resolution by superresolution (SR) techniques before analyzing might be an option, the high demand of computational cost can hardly meet the requirements of the tracking scenario. This paper presents a novel solution to track LR targets without explicitly performing SR. This new approach is based on discriminative metric preservation that preserves the data affinity structure in the high-resolution (HR) feature space for effective and efficient matching of LR images. In addition, we substantialize this new approach in a solid case study of differential tracking under metric preservation and derive a closed-form solution to motion estimation for LR video. In addition, this paper extends the basic linear metric preservation method to a more powerful nonlinear kernel metric preservation method. Such a solution to LR target tracking is discriminative, robust, and efficient. Extensive experiments validate the entrustments and effectiveness of the proposed approach and demonstrate the improved performance of the proposed method in tracking LR targets.
Sponsorship	IEEE Signal Processing Society
Page Count	14
File Size	1885154
Starting Page	1284
Ending Page	1297
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Strontium Kernel Visualization Training Extraterrestrial measurements visual tracking Discriminative low resolution (LR) metric preservation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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