NDLI: Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines

Content Provider	IEEE Xplore Digital Library
Author	Shuran Song Jianxiong Xiao
Copyright Year	2013
Description	Author affiliation: Princeton Univ., Princeton, NJ, USA (Shuran Song; Jianxiong Xiao)
Abstract	Despite significant progress, tracking is still considered to be a very challenging task. Recently, the increasing popularity of depth sensors has made it possible to obtain reliable depth easily. This may be a game changer for tracking, since depth can be used to prevent model drift and handle occlusion. We also observe that current tracking algorithms are mostly evaluated on a very small number of videos collected and annotated by different groups. The lack of a reasonable size and consistently constructed benchmark has prevented a persuasive comparison among different algorithms. In this paper, we construct a unified benchmark dataset of 100 RGBD videos with high diversity, propose different kinds of RGBD tracking algorithms using 2D or 3D model, and present a quantitative comparison of various algorithms with RGB or RGBD input. We aim to lay the foundation for further research in both RGB and RGBD tracking, and our benchmark is available at http://tracking.cs.princeton.edu.
Sponsorship	IEEE Comput. Soc.
Starting Page	233
Ending Page	240
File Size	3638876
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Three-dimensional displays Benchmark testing Videos Image color analysis Algorithm design and analysis benchmark tracking RGBD
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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