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It remains a challenge to efficiently represent spatial-temporal data for 3D action recognition. To solve this problem, this paper presents a new skeleton-based action representation using data visualization and convolutional neural networks, which contains four main stages. First, skeletons from an action sequence are mapped as a set of five dimensional points, containing three dimensions of location,...
Fall detection plays a significant role in the medical care of elderly people. As reported, falling is the main cause leading to the death of the elderly over the age of 65. Recently, video-based fall detection methods have been widely used, with the progress of intelligent video analysis. In this study, we presents a novel method to detect the fall with a position-fixed RGB camera. Our method consists...
With the growing demand for security, video surveillance is becoming increasingly important. And persistence is a key indicator for intelligent surveillance systems which means the ability to fit 24 hoursall-weather work. While the performances of traditional surveillance systems are limited since they can only gain either visible images during the day or intensity images in poor illumination conditions...
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