Dynamic tracking system for object recognition
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Efficient upper body pose estimation from a single image or a sequence
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Human tracking: a state-of-art survey
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
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We describe an efficient and robust method of tracking human forearms as skin colored regions. Of special consideration in the design of this system are real-time and robustness issues. We approach this as 2D tracking problem using skin color and edge information. Multiple 2D limb models are used to enhance tracking of the underlying 3D structure. This includes models for lateral forearm views (waving) as well as for pointing gestures. Experiments on test sequences demonstrate the efficacy of this approach.