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Gesture Intention Understanding Based on depth and RGB data

Gesture Intention Understanding Based on Depth and RGB Data

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第37届中国控制会议

作者： Yu Feng Luefeng Chen Wanjuan Su Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo Institute of Technology

Aiming at the problem that the process of gesture recognition based on color image is greatly affected by environmental factors such as lighting, a gesture intent understanding method based on the fusion of Red-Green-Blue（RGB） data and depth data is proposed. Firstly, the gesture feature extraction based on the Speeded Up Robust Feature（SURF） method after foreground segmentation are used to get gesture information. Then, we apply Backpropagation（BP） neural network to classify and recognize gestures. The final recognition results are obtained through data fusion from recognition results based on both RGB images and depth images. We evaluated the effectiveness of the proposed method through Cha Learn Gesture database.

关键词： Gesture Intention Understanding depth data RGB data

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Research on the Acquisition of Human Behavior data Based on Kinect

Research on the Acquisition of Human Behavior Data Based on ...

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第30届中国控制与决策会议

作者： Xueping Liu Yibo Li College of Automation Engineering Nanjing University of Aeronautics and Astronautics College of Automation Engineering Shenyang Aerospace University

In the field of computer vision, identifying interesting objects from complex environments by depth data becomes a hot topic in the field of computer vision. In the research of human behavior recognition, it is an important branch in the field of action recognition to obtain the data of human behavior through depth data, and then to do the corresponding detection and recognition. This paper studies the acquisition technology of human behavior data based on Kinect, analyzes the technical parameters and measurement principle of the new generation of Kinect v2（Kinect for Windows v2 sensor）, and designs a human behavior data acquisition system based on Kinect v2. Through experiments, it is proved that the method presented in this paper for the acquisition of human body behavior data is practical and feasible.

关键词： Kinect depth data skeleton data human behavior RGB-D

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