Title :
A novel vision-based multi-hand tracking algorithm for human computer interface
Author :
Luo, Bin ; Huang, Quanyong ; Bi, Sheng ; Ma, Yikai
Author_Institution :
Guangzhou Higher Educ. Mega Center, South China Univ. of Technol., Guangzhou, China
Abstract :
A novel multi-hand tracking algorithm for human computer interface (HCI) is proposed, to solve the problem caused by the incompletion of tracking, the overlap of multi-object, the lost of the object and the confusion from background. For tracking the hand completely and effectively, we propose a new region-connection-based tracking method. And a hand motion model is established for tracking failure detection, with the utility of Bayesian classifier. Furthermore, to recover tracking after failure, a monitoring windows method is designed.
Keywords :
Bayes methods; computer vision; human computer interaction; image classification; object tracking; Bayesian classifier; HCI; background confusion; hand motion model; human computer interface; monitoring windows method; multiobject overlapping; object lost; region-connection-based tracking method; tracking failure detection; tracking incompletion; vision-based multihand tracking algorithm; Bayesian methods; Mathematical model; Monitoring; Nickel; Skin; Tracking; Vectors; hand tracking; human computer interface; machine learning; multiple object tracking;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
DOI :
10.1109/ROBIO.2011.6181671