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Fall detection system in enclosed environments based on single Gaussian model
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作者 Adel Rhuma Jonathon A Chambers 《Journal of Measurement Science and Instrumentation》 CAS 2012年第2期123-128,共6页
In this paper,we propose an efficient fall detection system in enclosed environments based on single Gaussian model using the maximum likelihood method.Online video clips are used to extract the features from two came... In this paper,we propose an efficient fall detection system in enclosed environments based on single Gaussian model using the maximum likelihood method.Online video clips are used to extract the features from two cameras.After the model is constructed,a threshold is set,and the probability for an incoming sample under the single Gaussian model is compared with that threshold to make a decision.Experimental results show that if a proper threshold is set,a good recognition rate for fall activities can be achieved. 展开更多
关键词 humans fall detection enclosed environments one class support vector machine(OCSVM) imperfect training data shape analysis maximum likelihood(ML) background subtraction CODEBOOK voxel person
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