Multi-person motion detection method and device based on human skeleton point detection
The invention discloses a multi-person motion detection method and device based on human skeleton point detection. The method comprises the following steps: S100, sending a start signal, and starting video recording and countdown at the same time; s200, extracting an action image of the time sequenc...
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| creator | PENG SHUSONG |
| description | The invention discloses a multi-person motion detection method and device based on human skeleton point detection. The method comprises the following steps: S100, sending a start signal, and starting video recording and countdown at the same time; s200, extracting an action image of the time sequence, calculating confidence and affinity of key points of the human skeleton, and drawing a connection graph of the key points of the human skeleton; s300, calculating time-space domain features of the key skeleton points, and identifying effective actions through action classification and motion tracking; s400, counting the actions of the human body based on the action classification result; s500, sending an ending signal, stopping video recording, and ending counting; and S600, returning a counting result. Based on the human skeleton point detection technology, the change features of the time domain and the space domain of the human skeleton key points in the motion process are analyzed, the effective motion is rec |
| format | Patent |
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The method comprises the following steps: S100, sending a start signal, and starting video recording and countdown at the same time; s200, extracting an action image of the time sequence, calculating confidence and affinity of key points of the human skeleton, and drawing a connection graph of the key points of the human skeleton; s300, calculating time-space domain features of the key skeleton points, and identifying effective actions through action classification and motion tracking; s400, counting the actions of the human body based on the action classification result; s500, sending an ending signal, stopping video recording, and ending counting; and S600, returning a counting result. 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The method comprises the following steps: S100, sending a start signal, and starting video recording and countdown at the same time; s200, extracting an action image of the time sequence, calculating confidence and affinity of key points of the human skeleton, and drawing a connection graph of the key points of the human skeleton; s300, calculating time-space domain features of the key skeleton points, and identifying effective actions through action classification and motion tracking; s400, counting the actions of the human body based on the action classification result; s500, sending an ending signal, stopping video recording, and ending counting; and S600, returning a counting result. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Multi-person motion detection method and device based on human skeleton point detection |
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