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In this paper, we address the problem of dynamic hand gesture recognition from unaided video sequences. We present a novel approach based on motion trajectories of hands and hand shapes of the key frames. Firstly, the hand area is segmented by active skin color model. Then the hand motion trajectories are extracted with dynamic time warping (DTW) algorithm and the key frame of video sequences is computed...
Locating hands in sign language video is challenging due to a number of factors. Hand appearance varies widely across signers due to anthropometric variations and varying levels of signer proficiency. Video can be captured under varying illumination, camera resolutions, and levels of scene clutter, e.g., high-res video captured in a studio vs. low-res video gathered by a Web cam in a user's home....
This paper presents detection and tracking methods for userpsilas body parts in video sequences. They are applied to detect human activities, in the case of this work, the detection of medication intake. We use a technique based on color and shape to detect the body parts and the medication bottles. Color is used for skin detection, and the shape is used to distinguish the faces from the hands and...
Lip contour extraction was a useful technique for obtaining a mouth shape in an image, and was one of the most important techniques for human-machine interface applications, such as lip reading and speech recognition. In this paper, a new method to extract lip contour from video was propose based on the fact that the lip color and skin-color was varied in the different color spaces. We first extracted...
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