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We present a purely algorithmic method for distinguishing when two hands are visually merged together and tracking their positions by propagating tracking information from anchor frames in single-camera video without depth information. We demonstrate and evaluate on a manually labeled dataset selected primarily for clasped hands with 698 images of a single speaker with 1301 annotated left and right...
Human arm and body gestures have long been known to hold significance in communication, especially with respect to teaching. We gather ground truth annotations of gesture appearance using a 27-bit pose vector. We manually annotate and analyze the gestures of two instructors, each in a 75-minute computer science lecture recorded to digital video, finding 866 gestures and identifying 126 fine equivalence...
This paper outlines several multimedia systems that utilize a multimodal approach. These systems include audiovisual based emotion recognition, image and video retrieval, and face and head tracking. Data collected from diverse sources/sensors are employed to improve the accuracy of correctly detecting, classifying, identifying, and tracking of a desired object or target. It is shown that the integration...
This paper addresses the problem of how to make a UAV track a given flight trajectory while at the same time avoid unexpected obstacle(s). If the information about the existence of the obstacle is known in advance, the problem can be readily solved by carefully pre-planning the desired flight path for the vehicle. However, obstacle(s) might appear unexpectedly in practical applications, as such the...
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