Young children’s fall prevention based on computer vision recognition

Wright, David, Qin, Sheng-feng and Na, Hana (2006) Young children’s fall prevention based on computer vision recognition. In: Proceedings of the 5th WSEAS International Conference on Applied Computer Science. World Scientific and Engineering Academy and Society (WSEAS), Athens, pp. 880-885. ISBN 9789608457430

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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.

Item Type:	Book Section
Uncontrolled Keywords:	fall prevention, risk factors, background subtraction, motion detection, clutter detection
Subjects:	G400 Computer Science W200 Design studies
Department:	Faculties > Arts, Design and Social Sciences > Design
Related URLs:	Organisation
Depositing User:	Ay Okpokam
Date Deposited:	22 Dec 2015 11:17
Last Modified:	12 Oct 2019 19:34
URI:	http://nrl.northumbria.ac.uk/id/eprint/25184

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