HUMAN POSTURE RECOGNITION TRACKING AND FACE RECOGNITION
1. Body Posture Recognition
The colour camera can identify the specific posture of the person according to the deep learning model, and conduct human-machine interaction. The robot can make corresponding movements according to different body postures.
2. Human Skeleton Perception
The robot can analyze and calculate the two-dimensional skeleton information of the human body according to the colour information from the perspective, and further analyze and calculate the three-dimensional skeleton information and motion information of a specific character using depths of field.
3. Target Person Tracking
When there is more than one person in the scene, someone can tell the robot to lock he/she by a certain posture (for example, raising the left hand). There- after, the robot will follow the movement of the target, even during the movement.
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4. Face Recognition and Appearance Determination(under development)
From the perspective of the robot, artificial intelligence algorithm is used to automatically conduct face recognition and crowd classification, and it can identify gender, age and outfits.
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