Occlusion, optimization, emergency response and partial falls in a senior collapse detection system

Lynne Grewe; Steven Magaña-Zook

doi:10.1117/12.2176318

21 May 2015 Occlusion, optimization, emergency response and partial falls in a senior collapse detection system

Lynne Grewe, Steven Magaña-Zook

Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 947417 (2015) https://doi.org/10.1117/12.2176318
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Lynne Grewe and Steven Magaña-Zook "Occlusion, optimization, emergency response and partial falls in a senior collapse detection system", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947417 (21 May 2015); https://doi.org/10.1117/12.2176318

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