KinFrame: Framework for Large Scale Surveillance of Vulnerable People using Depth Camera

Many efforts have been made to monitor vulnerable people such as children, elderly, and people that are physically or mentally ill by using depth cameras. Although these applications provide state-of-the-art classification methods, most of these studies do not provide practical support for large scale, real-world deployment. We propose KinFrame, which is a complete framework that allows detection applications with aims to support vulnerable people to be efficiently deployed and used in a large scale, real-word settings.

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People:

  • Hee Jung Yoon (heejung8@dgist.com)
  • Ho-Kyeong Ra (hk@dgist.ac.kr)
  • JeongGil Ko (jeonggil.ko@etri.re.kr )
  • Sang Hyuk Son (son@dgist.ac.kr)

References:

  1. Hee Jung Yoon, Ho-Kyeong Ra, Jin-Hee Lee, JeongGil Ko, and Sang Hyuk Son “Poster-KinFrame: Framework for Large Scale Surveillance of Vulnerable People using Depth Camera”, 1st ACM Asian Students Symposium on Emerging Technologies (ASSET), June 2016.
  2. Hee Jung Yoon, Ho-Kyeong, Ra, Jin-Hee Lee, JeongGil Ko, and Sang Hyuk Son “WiP Abstract: Framework for Surveillance of Vulnerable People using Depth Camera”, IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Daegu, Korea, Aug 2016.