NDLI: Real-time finger tracking with improved performance in video sequences with motion blur

Content Provider	IEEE Xplore Digital Library
Author	Popa, D. Gui, V. Otesteanu, M.
Copyright Year	2015
Description	Author affiliation: Fac. of Electron. & Telecommun., “Politeh.” Univ. of Timisoara, Timisoara, Romania (Popa, D.; Gui, V.; Otesteanu, M.)
Abstract	In this paper we propose a new algorithm for finger detection and tracking in video sequences captured with a common webcam. The proposed method uses a multi cue approach to achieve finger detection. Background subtraction and skin color segmentation are used prior to generating a sparse image representation based on line strip features. A multilayer processing is applied to the line strips in order to obtain quasi continuous clusters that can be identified as finger candidates. The tracking algorithm was tested in various challenging situations showing outstanding performance with motion blurred images and good performances with scale changes and occlusion handling. The proposed algorithm has a computationally effective architecture and is able to run in realtime.
Starting Page	1
Ending Page	6
File Size	298103
Page Count	6
File Format	PDF
e-ISBN	9781479984985
DOI	10.1109/TSP.2015.7296467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-09
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strips Multi-Cue Tracking Target tracking Thumb Gesture recognition Gesture-Based User Interfaces Skin Hand/Finger Tracking Human Computer Interaction
Content Type	Text
Resource Type	Article

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