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Proceedings Paper

Occlusion, optimization, emergency response and partial falls in a senior collapse detection system
Author(s): Lynne Grewe; Steven Magaña-Zook
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Paper Abstract

Vision based fall detection systems must often contend with more issues than the need to simply identify true fall cases. All vision systems have areas of the frame they cannot see, occlusion, and this becomes of critical importance for systems monitoring for falls. Even with full scene visibility, human falls have an incredible variety requiring special detectors for edge cases like partial falls. Each detection algorithm is only as good as the parameters it is provided and so optimum values for each detector are found using Particle Swarm Optimization. We then discuss the use of email and short message service (SMS) in alerting caregivers that a fall has occurred.

Paper Details

Date Published: 21 May 2015
PDF: 8 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947417 (21 May 2015); doi: 10.1117/12.2176318
Show Author Affiliations
Lynne Grewe, California State Univ., East Bay (United States)
Steven Magaña-Zook, California State Univ., East Bay (United States)


Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)

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