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A novel scheme for non-rigid video object tracking using segment-based object candidates is proposed in this paper. Rather than using a conventional bounding box, the tracker is based on segments and considers the target object to be a combination of segments, where the hierarchical hue-saturation-value histogram is extracted as a feature. The objectness method is employed and integrated into the...
As a certain case in the domain of human actions, hand gestures can be expressed by the motion of user's hand to provide nature interaction in many applications. In this paper we proposed a real-time hand gesture recognition system based on robust hand tracking from depth image sequences. Using hidden markov models (HMM) with varying states, gesture models are trained online along with user's feedback,...
To translate the gesture performed by the user in a video sequence into meaningful symbols/commands, feature extraction is the first and most crucial step in such systems which measures the detected hand positions and its movement track. We propose an efficient approach based on inter-frame difference (IDF) to handle the hand movement tracking, which is shown to be more robust in the accuracy aspect...
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