A Beginning-to-End System for Efficiently Gathering Tracking Data on Multiple Targets

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Rice, L. (2016). A Beginning-to-End System for Efficiently Gathering Tracking Data on Multiple Targets. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Multi-object tracking in video has the potential for broad applicability, from analyzing division-of-labor within biological networks such as insects, to surveillance and traffic monitoring. Despite any potential the field of multiple object tracking holds, it often remains passed over in favor of manual annotation methods due to difficulties in reliably obtaining accurate results. Existing tools for gathering tracking data are either very time consuming, inaccessible due to non-intuitive interfaces, or simply produce too many tracking failures with no means of correcting them. In this thesis, we address the multi-object tracking task that is ill served by existing tracking tools. Specifically, we discuss intuitive means of parameter tuning, training various subroutines of the tracking algorithm, and correcting tracking failures. To this end, we developed a new desktop application, ABCTracker, which provides a sequence of efficient steps the direct the user from beginning (the video) to the end (accurate tracking information).

Details
Author

Rice, Lance

Title

A Beginning-to-End System for Efficiently Gathering Tracking Data on Multiple Targets

Physical Description

1 online resource (61 pages) : PDF

Date

2016

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Multi-object tracking in video has the potential for broad applicability, from analyzing division-of-labor within biological networks such as insects, to surveillance and traffic monitoring. Despite any potential the field of multiple object tracking holds, it often remains passed over in favor of manual annotation methods due to difficulties in reliably obtaining accurate results. Existing tools for gathering tracking data are either very time consuming, inaccessible due to non-intuitive interfaces, or simply produce too many tracking failures with no means of correcting them. In this thesis, we address the multi-object tracking task that is ill served by existing tracking tools. Specifically, we discuss intuitive means of parameter tuning, training various subroutines of the tracking algorithm, and correcting tracking failures. To this end, we developed a new desktop application, ABCTracker, which provides a sequence of efficient steps the direct the user from beginning (the video) to the end (accurate tracking information).

Genre

masters theses

Subjects--Topics

Computer science

Degree

M.S.

Keywords

Abctracker
Computer Vision
Multiple Object Tracking
Object Tracking
Software
Tracking

Subject Area

Computer Science

Advisor(s)

Shin, Minchul

Committee Members

Souvenir, Richard
Zhang, Shaoting

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2016.

Rights Statement

This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). For additional information, see http://rightsstatements.org/page/InC/1.0/.

Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Rice_uncc_0694N_11197

Permalink

http://hdl.handle.net/20.500.13093/etd:1172