eprintid: 441 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/04/41 datestamp: 2023-11-09 15:16:04 lastmod: 2023-11-09 15:16:04 status_changed: 2023-11-09 15:14:34 type: conference_item metadata_visibility: show creators_name: Altahir, A.A. creators_name: Asirvadam, V.S. creators_name: Sebastian, P. creators_name: Abdalwhab, A. title: Knowledge extraction from human motion ispublished: pub keywords: Artificial intelligence; Computer vision; Image processing; Mining; Pixels; Technology; Virtual reality, Communication engineering; Frequency distributions; Human developments; Human motions; International conferences; Knowledge extraction; Smart surveillance; Time domain OCT; Wide spectrum, Computer applications note: cited By 1; Conference of International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development ; Conference Date: 13 May 2008 Through 15 May 2008; Conference Code:73527 abstract: Observing people is currently one of the most active application areas in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc 13. This paper presents the concept of knowledge extraction from single human motion via a fixed camera in an enclosed environment in order to mine some movement attributes. We propose a framework based on five mining tools. The five measurements are extracting pixel coverage of a particular object, time domain, frequency distribution of pixels of interest, distances crossed in each frame and considering the object velocity. We assume that, taking into account the measurements mentioned above will introduce a robust knowledge extraction approach. ©2008 IEEE. date: 2008 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-51849090597&doi=10.1109%2fICCCE.2008.4580721&partnerID=40&md5=64346c8c2029ce50f93d16ec32ae490e id_number: 10.1109/ICCCE.2008.4580721 full_text_status: none publication: Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development place_of_pub: Kuala Lumpur pagerange: 827-832 refereed: TRUE isbn: 9781424416929 citation: Altahir, A.A. and Asirvadam, V.S. and Sebastian, P. and Abdalwhab, A. (2008) Knowledge extraction from human motion. In: UNSPECIFIED.