TY - GEN
T1 - A multi-camera motion capture system for remote healthcare monitoring
AU - Ye, Yun
AU - Ci, Song
AU - Katsaggelos, Aggelos K
AU - Liu, Yanwei
PY - 2013/10/21
Y1 - 2013/10/21
N2 - This paper presents a multi-camera motion capture system aiming to provide caregivers with timely access to the patient's health status through mobile communication devices. The major components include video capture, object detection, video coding and transmission, error concealment, and video analysis. Our contribution is twofold. First, several novel ideas are developed, including fast object detection, and content-aware and adaptive video coding and transmission. Second, all components are seamlessly integrated in a unified optimization framework dedicated for online data transmission. In the scenario, the subject walked on a treadmill with four tripod cameras capturing the video from different viewpoints. After video compression and transmission over a wireless sensor network, the remote receiver recovered the videos and performed multi-view motion capture for gait analysis. Experimental results show that the presented system design achieves better video quality than traditional video coding and transmission scheme, while the requirement for a low-cost, noninvasive and real-time healthcare monitoring system is accommodated.
AB - This paper presents a multi-camera motion capture system aiming to provide caregivers with timely access to the patient's health status through mobile communication devices. The major components include video capture, object detection, video coding and transmission, error concealment, and video analysis. Our contribution is twofold. First, several novel ideas are developed, including fast object detection, and content-aware and adaptive video coding and transmission. Second, all components are seamlessly integrated in a unified optimization framework dedicated for online data transmission. In the scenario, the subject walked on a treadmill with four tripod cameras capturing the video from different viewpoints. After video compression and transmission over a wireless sensor network, the remote receiver recovered the videos and performed multi-view motion capture for gait analysis. Experimental results show that the presented system design achieves better video quality than traditional video coding and transmission scheme, while the requirement for a low-cost, noninvasive and real-time healthcare monitoring system is accommodated.
KW - Healthcare monitoring
KW - multi-view motion capture
KW - object detection
KW - video coding and transmission
KW - wireless communications
UR - http://www.scopus.com/inward/record.url?scp=84885666738&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885666738&partnerID=8YFLogxK
U2 - 10.1109/ICME.2013.6607566
DO - 10.1109/ICME.2013.6607566
M3 - Conference contribution
AN - SCOPUS:84885666738
SN - 9781479900152
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
BT - 2013 IEEE International Conference on Multimedia and Expo, ICME 2013
T2 - 2013 IEEE International Conference on Multimedia and Expo, ICME 2013
Y2 - 15 July 2013 through 19 July 2013
ER -