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Recognizing actions using depth motion maps-based histograms of oriented gradients
In this paper, we propose an effective method to recognize human actions from sequences of depth maps, which provide additional body shape and motion information for action recognition. In ourExpand
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  • Open Access
Histogram of 3D Facets: A characteristic descriptor for hand gesture recognition
The availability of 3D sensors has recently made it possible to capture depth maps in real time, which facilitates a variety of visual recognition tasks including hand gesture recognition. However,Expand
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  • Open Access
Privacy Preserving Automatic Fall Detection for Elderly Using RGBD Cameras
In this paper, we propose a new privacy preserving automatic fall detection method to facilitate the independence of older adults living in the community, reduce risks, and enhance the quality ofExpand
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  • Open Access
RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs
A computer vision-based wayfinding and navigation aid can improve the mobility of blind and visually impaired people to travel independently. In this paper, we develop a new framework to detect andExpand
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  • Open Access
RGB-D Camera-based Daily Living Activity Recognition
—In this paper, we propose a new activity analysis framework to facilitate the independence of older adults living in the community, reduce risks, and enhance the quality of life at home byExpand
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  • Open Access
3D-based Deep Convolutional Neural Network for action recognition with depth sequences
Traditional algorithms to design hand-crafted features for action recognition have been a hot research area in the last decade. Compared to RGB video, depth sequence is more insensitive to lightingExpand
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  • Open Access
Histogram of 3D Facets: A depth descriptor for human action and hand gesture recognition
A new 3D local shape descriptor for hand gesture and human action recognition from depth sensors.Extensive results demonstrate the outstanding discriminative power of the proposed descriptor.TheExpand
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Edge Enhanced Depth Motion Map for Dynamic Hand Gesture Recognition
In this paper, we propose a novel approach to recognize dynamic hand gestures from depth video by integrating Edge Enhanced Depth Motion Map together with Histogram of Gradient descriptor. TheExpand
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  • Open Access
Detecting and Extracting the Photo Composites Using Planar Homography and Graph Cut
With the advancement of photo and video editing tools, it has become fairly easy to tamper with photos and videos. One common way is to insert visually plausible composites into target images andExpand
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Automatic video description generation via LSTM with joint two-stream encoding
In this paper, we propose a novel two-stream framework based on combinational deep neural networks. The framework is mainly composed of two components: one is a parallel two-stream encoding componentExpand
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  • Open Access