21 May 2015 Occlusion, optimization, emergency response and partial falls in a senior collapse detection system
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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.
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Lynne Grewe, Lynne Grewe, Steven Magaña-Zook, 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); doi: 10.1117/12.2176318; https://doi.org/10.1117/12.2176318
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