In this paper, we propose a real-time gesture tracking technique for the personalized user interface exploiting non-contact 3D vision technique. We first separate a user of interest as precisely as possible from the acquired natural background scenes and then estimate the disparity of the segmented user with a multi-view camera. Given the depth information of the user, we construct SpaceSensor, 3D box-based space sensor, around the user. Using the proposed SpaceSensor, the user can express his/her intension with natural gestures. The proposed technique overcomes the constraints of gesture tracking based on 2D vision techniques. In addition, the computation complexity is reduced when it compare to those of traditional real-time gesture tracking techniques. According to the experimental results, the proposed gesture tracking technique can be applied to various applications requiring real-time interaction, without loss of generality.
['Dongpyo Hong', 'Woontack Woo']
SpaceSensor: Real-time Gesture Tracking for I-NEXT *