Dynamic human body trunk temperature analysis method based on intelligent thermal imaging video analysis
A video analysis and intelligent heat technology, applied in the fields of computer vision and artificial intelligence, can solve problems such as poor generalization ability, inability to apply motion scenes, inability to analyze body temperature, etc., to achieve good results, low cost, and reduced time required. Effect
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Embodiment 1
[0040] The camera is deployed near the motion area, the pose of the camera is fixed, and the camera is shot from an oblique top-down perspective. It should be noted that when the camera is deployed, its angle of view should be able to capture the movement area it is responsible for monitoring.
[0041] Perceive the key points of the human body of the athlete on the color image of the movement area collected by the camera, output a multi-channel heat map of the key points of the human body, and obtain the human skeleton based on the prior knowledge of the connection relationship of the key points. Use the human body key point perception neural network for human body key point perception. The human body key point perception network includes: human body key point encoder, which extracts features from the image and outputs feature maps; human body key point decoder, which outputs the human body key point encoder. The feature map is upsampled and reconstructed, and the heat map of ...
Embodiment 2
[0054] In this embodiment, when there are multiple athletes in the field of view of the camera, the athletes can be distinguished.
[0055] The camera is deployed near the motion area, the pose of the camera is fixed, and the camera is shot from an oblique top-down perspective. It should be noted that when the camera is deployed, its angle of view should be able to capture the movement area it is responsible for monitoring.
[0056] Perceive the key points of the human body of the athlete on the color image of the movement area collected by the camera, output a multi-channel heat map of the key points of the human body, and obtain the human skeleton based on the prior knowledge of the connection relationship of the key points. Use the human body key point perception neural network for human body key point perception. The human body key point perception network includes: human body key point encoder, which extracts features from the image and outputs feature maps; human body ke...
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