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LGT/VOT tracking performance evaluation of depth images
conference contribution
posted on 2014-01-01, 00:00 authored by Hussein Haggag, Mohammed Hossny, Sherif Haggag, J Xiao, Saeid Nahavandi, Douglas CreightonDouglas CreightonThis paper presents object tracking in depth, RGB and normal-maps images using LGT tracker. The depth and RGB images are rendered using depth imaging plugins. A series of experiments were held to evaluate the tracker performance in tracking objects in different image sequences. The experiments conducted were from the Visual Object Tracking (VOT) challenge that was arranged in association with ICCV'13 The accuracy was chosen as the evaluation measure, where the the tracker's bounding box was compared against the ground truth bounding box. Results show that tracking object using depth images gives better results and is more accurate than tracking using either the RGB or nomal maps images.
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Event
System of Systems Engineering. Conference (2014 : Adelaide, South Australia)Pagination
284 - 288Publisher
IEEE.Location
Adelaide, South AustraliaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-06-09End date
2014-06-13ISBN-13
9781479952274Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, Institute of Electrical and Electronics EngineersEditor/Contributor(s)
[Unknown]Title of proceedings
SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems EngineeringUsage metrics
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