Title :
Real-Time Hand Detection and Tracking against Complex Background
Author :
Gang-Zeng Mao ; Yi-Leh Wu ; Maw-Kae Hor ; Cheng-Yuan Tang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
Most hand detection and tracking algorithms can be only applied in the fairly simple and similar background. We propose to combine a modified object detection method proposed by Viola and Jones with the skin-color detection method to perform hand detection and tracking against complex background. Out experimental results show that the proposed method is effective in near real-time speed (15 frames per second.).
Keywords :
filtering theory; gesture recognition; image colour analysis; object detection; real-time systems; tracking; complex background; gesture interface; object detection; real-time hand detection; real-time hand tracking; skin-color filtering method; Computer science; Face detection; Frequency estimation; Information management; Object detection; Phase detection; Signal processing; Signal processing algorithms; Skin; Training data; AdaBoosting; Haar-like features; cascade classifier; hand-dtetction; skin color detector;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
DOI :
10.1109/IIH-MSP.2009.133
