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Due to the physical and mental impairments, frail elderly have to stay in the bed most of their time. So, serious health issues and physical injuries can occur to them if dangerous events and situations around the bed are not known in advance. This paper proposes continuous patient monitoring with situation awareness using multimodality sensors to recognize such dangerous events in and around the...
The data association between objects and measurements is a challenging task in multiple-object tracking because of computationally expensive. This challenge can be overcame by the probability hypothesis density (PHD) filter. Recently, the Gaussian mixture probability hypothesis density (GMPHD) filter has been proposed as a closed-form of the PHD filter. However, the GMPHD filter does not include track...
Tracking objects using multiple sensors is more efficient than those using one sensor. In this paper, we proposed a method to fuse data from multiple sensors in Gaussian mixture probability hypothesis density filter. This method can avoid the data association problem in multi-sensor multi-object tracking. Moreover, it is more reliable and less computational than particle probability hypothesis density...
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