Young children’s fall prevention based on computer vision recognition

David Wright, Sheng-feng Qin, Hana Na

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper a computer vision system is proposed to detect risk factors of young children’s falls in the home environment and to produce actions to remove the factors. The system recognition tasks, clutter detection and children tracking, are defined in accordance with general suggestions which request a caregiver’s continuous supervision to prevent young children’s falls from the UK Child Accident Prevention Trust (CAPT). The current system uses only one commercial camera without any sensor or marker on the subject for practical purposes. This paper focuses on the system design and clutter detection. The algorithms for moving object and clutter detection have been developed, implemented and tested.
Original languageEnglish
Title of host publicationProceedings of the 5th WSEAS International Conference on Applied Computer Science
EditorsS. Y. Chen
Place of PublicationAthens
PublisherWorld Scientific and Engineering Academy and Society
Pages880-885
ISBN (Print)9789608457430
Publication statusPublished - 2006
Event5th WSEAS International Conference on Applied Computer Science - Hangzhou
Duration: 1 Jan 2006 → …
http://www.wseas.us/e-library/conferences/2006hangzhou/

Conference

Conference5th WSEAS International Conference on Applied Computer Science
Period1/01/06 → …
Internet address

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