Title :
Research of a Real-time Hand Tracking Algorithm
Author :
Zhai, Haiting ; Wu, Xiaojuan ; Han, Hui
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Abstract :
Gesture analysis is an important region in HCI (human computer interaction) technology and hand tracking is a key step of gesture analysis. A modified CAMSHIFT (continuously adaptive mean shift) algorithm, which can track hand in real time, is presented in this paper. Considering the hand motion and skin color probability distribution all together, the modified algorithm, which enhances anti-noise ability, avoids distracters and deals well with shelter problem, is put forward. Tracking precision is improved. Experiment results show this algorithm is fast, accurate, and robust. It can be used in other region tracking special color
Keywords :
gesture recognition; image colour analysis; image motion analysis; statistical distributions; HCI; continuously adaptive mean shift algorithm; gesture analysis; hand motion; human computer interaction; real-time hand tracking algorithm; skin color probability distribution; Distributed computing; Face recognition; Histograms; Human computer interaction; Image converters; Information analysis; Pixel; Probability distribution; Skin; Space technology; CAMSHIFT; Hand tracking; Human Computer Interaction; Skin probability distribution model;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614835
