NDLI: An integrated system for object tracking, detection, and online learning with real-time RGB-D video

Content Provider	IEEE Xplore Digital Library
Author	I-Kuei Chen Chung-Yu Chi Szu-Lu Hsu Liang-Gee Chen
Copyright Year	2014
Description	Author affiliation: DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan (I-Kuei Chen; Chung-Yu Chi; Szu-Lu Hsu; Liang-Gee Chen)
Abstract	This paper introduces a highly integrated system providing very accurate object detection with RGB-D sensor. To solve the problem that there are always insufficient training sets for object detection in real world, we present an online learning architecture to learn templates and to detect objects real-time. The proposed novel concept skips the training phase required in previous recognition works, and it comprises independent tracking and detection function, which collaborates with each other to make the detection more precise. We furthermore illustrate four strategies for online learning and compare the efficiency. With depth information, the experiment results perform remarkable in challenging scenarios.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	6558
Ending Page	6562
File Size	728307
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Real-time systems Computer vision Robustness Image color analysis Target tracking Conferences RGB-D Online learning tracking detection realtime
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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