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This system was evaluated by transmitting the ultrasonic image sequence of the heart via ISDN (1. 5 mbps). Although this system completely specialized in compression and transmission of the ultrasound sector scan image sequence, a relatively good performance in the frame rate and the image quality was achieved, compared with the previous systems (H.260, JPEG, and MPEG-1).

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This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user's five crucial human features (head, hands and feet) are extracted, labeled and tracked, after silhouette segmentation. The crucial points candidates are defined as the local maxima of the geodesic distance with respect to the center of gravity of the actor region (silhouette) following the silhouette boundary. Selected crucial points are then classified as head, hands or feet using a probabilistic approach weighted by a prior human model. The system can run at 50Hz paces on standard Personal Computers.

A new telemedicine system that enables real-time telemedicine using a medical ultrasound image sequence on a digital network of up to 128 kbps is proposed. This system compresses an image sequence by our original joint photographic expert group (JPEG) compression library that adapts for real-time and point-to-point communication. Moreover, this system deals with three transmission modes to provide smooth telemedicine and two kinds of transmission images. The three transmission modes available include real-time teleconferencing between the remote expert at a diagnosis site and the doctor and a patient at a patient site, real-time remote instruction from the remote expert to obtain an appropriate medical ultrasound image sequence for the diagnosis and real-time transmission of the medical ultrasound image sequence for the remote expert to make the diagnosis. One transmission image contains an entire medical ultrasound image with a low frame rate, therefore the remote expert can diagnose a disease using this medical ultrasound image sequence that contains tissue and other information. The other image is of the region of interest (ROI) of a medical ultrasound image sequence for diagnosis. The ROI is specified by the remote expert at the diagnosis site to reduce the size of the medical ultrasound image. As a result, the proposed system transmits the ROI with a high frame rate. Through international telemedicine experiments using medical ultrasound image sequence consulting experts, we can state with sufficient certainty that the proposed system can provide the required performance to enable medical experts to perform real-time telemedicine on a digital network or over the Internet.