On the Contribution of Saliency in Visual Tracking

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Abstract

Visual target tracking is a long-standing problem in the domain of computer vision. There are numerous methods proposed over several years. A recent trend in visual tracking has been target representation and tracking using saliency models inspired by the attentive mechanism of the human. Motivated to investigate the usefulness of such target representation scheme, we study several target representation techniques for mean-shift tracking framework, where the feature space can include color, texture, saliency, and gradient orientation information. In particular, we study the usefulness of the joint distribution of color-texture, color-saliency, and color-orientation in comparison with the color distribution. The performance is evaluated using the visual object tracking (VOT) 2013 which provides a systematic mechanism and a database for the assessment of tracking algorithms. We summarize the results in terms of accuracy & robustness; and discuss the usefulness of saliency-based target t racking.

Details

Original languageEnglish
Title of host publicationProceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventJoint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Rome, Italy
Duration: 27 Feb 201629 Feb 2016
Conference number: 11

Conference

ConferenceJoint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Abbreviated titleVISIGRAPP
CountryItaly
CityRome
Period27/02/201629/02/2016

    Research areas

  • saliency, mean-shift tracking, target representation

ID: 2605785