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Evaluating Depth-Based Computer Vision Methods for Fall Detection Under Occlusions

by Zhong Zhang , Christopher Conly , Vassilis Athitsos
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A Survey on Vision-based Fall Detection

by Zhong Zhang , Christopher Conly , Vassilis Athitsos
"... ABSTRACT Falls are a major cause of fatal injury for the elderly population. To improve the quality of living for seniors, a wide range of monitoring systems with fall detection functionality have been proposed over recent years. This article is a survey of systems and algorithms which aim at autom ..."
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ABSTRACT Falls are a major cause of fatal injury for the elderly population. To improve the quality of living for seniors, a wide range of monitoring systems with fall detection functionality have been proposed over recent years. This article is a survey of systems and algorithms which aim at automatically detecting cases where a human falls and may have been injured. Existing fall detection methods can be categorized as using sensors, or being exclusively vision-based. This literature review focuses on vision-based methods.
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...wo falls along each direction in each viewpoint in the EDF dataset. So, there are 160 falls in each viewpoint and 320 falls in total. In the EDF dataset, subjects also performed a total of 100 actions that tend to produce features similar to those of a fall event, namely: 20 examples of picking up something from the floor, 20 cases of sitting on the floor and 20 examples of lying down on the floor, 20 examples of tying shoelaces and 20 examples of doing plank exercise. The dataset was recorded at a resolution of 320x240 pixels per frame and at a frame rate of about 25 frames per second. OCCU3 [41]: Two Kinect depth cameras were set up at two corners of a simulated apartment to collect occluded falls. An occluded fall refers to the end of the fall can be completely occluded by a certain object, like a bed. Each of the 5 subjects performed six occluded falls in each viewpoint in the OCCU dataset. The OCCU dataset includes 25,618 frames and 30 totally occluded falls in videos from the first viewpoint, and 23,703 frames and 30 totally occluded falls in videos from the second viewpoint performed by the same subjects. Each viewpoint was recorded at separate times from the other viewpoint, an...

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