Human home behavior interpretation from video streams

Chin De Liu, Pau Choo Chung, Yi-Nung Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper presents a system for human home behavior analysis from video streams using activity triggered state machine combined with contextual information. The transition function of the state machine is embedded with the human activities associated with human behaviors. When a sequence of recognized activities triggers the state machine into a behavior-meaningful state, the system then combines the contextual information for drawing the high level interpretation. In activity recognition, the system first detects and tracks the moving objects, computes the human postures by these features, and then takes the postures for activity recognition. To conquer the problem of frame start point selection associated with activity recognition, this paper also proposes to use posture change as a basis to locate the start frame.

Original languageEnglish
Title of host publicationConference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
Pages192-197
Number of pages6
Publication statusPublished - 2004 Jun 28
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 2004 Mar 212004 Mar 23

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume1

Other

OtherConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
CountryTaiwan
CityTaipei
Period04-03-2104-03-23

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Liu, C. D., Chung, P. C., & Chung, Y-N. (2004). Human home behavior interpretation from video streams. In Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control (pp. 192-197). (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 1).