Hand Region Tracking and Fingertip Detection based on Depth Image (깊이 영상 기반 손 영역 추적 및 손 끝점 검출)

주성일; 원선희; HYUNG IL CHOI (최형일)

Hand Region Tracking and Fingertip Detection based on Depth Image

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2013, 18(8), pp.65-75
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

주성일 ¹, 원선희 ², HYUNG IL CHOI ¹

¹숭실대학교
²숭실대학교 글로벌미디어학과

Accredited

ABSTRACT

This paper proposes a method of tracking the hand region and detecting the fingertip using only depth images. In order to eliminate the influence of lighting conditions and obtain information quickly and stably, this paper proposes a tracking method that relies only on depth information, as well as a method of using region growing to identify errors that can occur during the tracking process and a method of detecting the fingertip that can be applied for the recognition of various gestures. First, the closest point of approach is identified through the process of transferring the center point in order to locate the tracking point, and the region is grown from that point to detect the hand region and boundary line. Next, the ratio of the invalid boundary, obtained by means of region growing, is used to calculate the validity of the tracking region and thereby judge whether the tracking is normal. If tracking is normal, the contour line is extracted from the detected hand region and the curvature and RANSAC and Convex-Hull are used to detect the fingertip . Lastly,quantitative and qualitative analyses are performed to verify the performance in various situations and prove the efficiency of the proposed algorithm for tracking and detecting the fingertip

KEYWORDS

Hand detection, Depth Tracking, Fingertip detection

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65