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- W2965052757 abstract "Target recognition is the most important premise in detection and tracking of human objects. Using the global or local features to identify the human body is the mainstream way to track human body. This paper proposes a system of target recognition based on Kinect which combined the global and local features. Firstly, the RGB image is obtained by the Kinect. And then the people were separated from the background in the RGB image. After that the RGB image is transformed into a histogram. Then, the depth image was obtained by the Kinect. The spatial coordinates of bone nodes were obtained by the Kinect bone tracking technology such as the head, shoulder center, spine, and hip center of the human body. The Euclidean distance of the bone points in space were calculated. Finally, the results of each step were combined as a basis for recognition. Our method can reduce the influence of external light, light and other conditions on recognition." @default.
- W2965052757 created "2019-08-13" @default.
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- W2965052757 date "2019-07-31" @default.
- W2965052757 modified "2023-09-28" @default.
- W2965052757 title "Target Recognition Based on Kinect Combined RGB Image with Depth Image" @default.
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- W2965052757 doi "https://doi.org/10.1007/978-3-030-25128-4_89" @default.
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