Real-time and robust hand tracking using multiple features
LI Feng
SANG Nong
WANG Hong-zhi
YAN Yi
GAO Chang-xin
LIU Le-yuan
Abstract：Hand tracking in unconstrained environments remains an extremely challenging problem due to several factors, such as background clutter, deformation, and motion blur. In this paper, we combine motion, color, and Haar-like features to construct a real-time and robust hand tracking system. Haar-like features successfully defeat moving skin-colored backgrounds, although they are unstable for the whole situation. Three weak trackers are built using each kind of feature and integrated in a boosted cascade. If one stage makes sure of the object position, no other stages is carried out. Otherwise it provides its own point of view to guide the next stage. We realize the proposed approach and demonstrate it on several challenging sequences.
Keywords：hand trackingmultiple featuresreal-timehuman computer interaction
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 797-802 )