NDLI: Multi-view hand tracking using epipolar geometry-based consistent labeling for an industrial application

Content Provider	IEEE Xplore Digital Library
Author	Yixiao Yun Gu, I.Y.-H. Provost, J. Akesson, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden (Yixiao Yun; Gu, I.Y.-H.; Provost, J.; Akesson, K.)
Abstract	This paper addresses a visual tracking and analysis method for automatic monitoring of an industrial manual assembly process, where each worker sequentially picks up components from different boxes during an assembling process. Automatic surveillance of assembling process would enable to reduce assembling errors by giving early warning. We propose a hand tracking and trajectory analysis method from videos captured by several uncalibrated cameras with overlapping views. The proposed method consists of three modules through single-view hand tracking, consistent labeling across views, and optimal decision from multi-view temporal dynamics. The main novelties of the paper include: (a) target model learning with multiple instances through K-means clustering applied to accommodate different levels of light reflection; (b) optimal criterion for consistent labeling of tracked hands across views, based on the symmetric epipolar distance; (c) backward correction of mis-detection by combining epipolar lines with previously tracked results; (d) a multi-view voting scheme for analyzing hand trajectory using binary hand location maps. Experiments have been conducted on videos by multiple uncalibrated cameras, where a person performs assembly operations. Test results and performance evaluation have shown the effectiveness of this method, in terms of multi-view consistent estimation of hand trajectories and accurate interpretation of component assembly actions.
Starting Page	1
Ending Page	6
File Size	4454130
Page Count	6
File Format	PDF
ISBN	9781479921645
DOI	10.1109/ICDSC.2013.6778217
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking epipolar geometry Image color analysis hand trajectory analysis multiple view tracking Cameras multi-view hand tracking Trajectory Labeling consistent labeling Videos
Content Type	Text
Resource Type	Article

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