Alternative Title

7401033

Publication Type

Journal Article

Version

publishedVersion

Publication Date

5-2017

Abstract

This paper presents a novel locality sensitive histogram (LSH) algorithm for visual tracking. Unlike the conventional image histogram that counts the frequency of occurrence of each intensity value by adding ones to the corresponding bin, an LSH is computed at each pixel location, and a floating-point value is added to the corresponding bin for each occurrence of an intensity value. The floating-point value exponentially reduces with respect to the distance to the pixel location where the histogram is computed. An efficient algorithm is proposed that enables the LSHs to be computed in time linear in the image size and the number of bins. In addition, this efficient algorithm can be extended to exploit color images. A robust tracking framework based on the LSHs is proposed, which consists of two main components: a new feature for tracking that is robust to illumination change and a novel multiregion tracking algorithm that runs in real time even with hundreds of regions. Extensive experiments demonstrate that the proposed tracking framework outperforms the state-of-the-art methods in challenging scenarios, especially when the illumination changes dramatically. Evaluation using the latest benchmark shows that our algorithm is the top performer.

Keywords

Illumination changes, Illumination invariant, Image histograms, Intensity values, Locality sensitives, State-of-the-art methods, Tracking algorithm, Visual tracking

Discipline

Databases and Information Systems | Theory and Algorithms

Research Areas

Information Systems and Management

Publication

IEEE Transactions on Circuits and Systems for Video Technology

Volume

27

Issue

5

First Page

1006

Last Page

1017

ISSN

1051-8215

Identifier

10.1109/TCSVT.2016.2527300

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/TCSVT.2016.2527300

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