Hand mouse: Real time hand motion detection system based onanalysis of finger blobs

被引:0
|
作者
Ince I.F. [1 ]
Socarras-Garzon M. [1 ]
Yang T.-C. [2 ]
机构
[1] Graduate School of Digital Design, Kyungsung University, Busan
[2] Department of Computer and Information Science, Kyungsung University, Busan
关键词
Adaboost classifier; Blob extraction; Haar-like features; Hand motion detection; Hand mouse; Hand tracking; Lucas-kanade optical flow tracker;
D O I
10.4156/jdcta.vol4.issue2.5
中图分类号
学科分类号
摘要
Hand detection is a fundamental step in many practical applications as gesture recognition, video surveillance, and multimodal machine interface and so on. The aim of this paper is to present the methodology for hand detection and propose the hand motion detection method. Skin color is used to segment the hand region from background and hand blob is extracted from the segmented finger blobs. Analysis of finger blobs gives us the location of hand even when hand and head blobs are visible in the same image. In this paper, we propose a fast, computationally inexpensive solution which uses any type of computer video camera to control a cursor through hand movements and gesticulations. The design and evaluation phases are presented in detail. We have performed extensive experiments and achieve very encouraging results. Finally, we discuss the ffectiveness of the proposed method through several experimental results.
引用
收藏
页码:40 / 56
页数:16
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