Indoor human body detection tracking and identity recognition system based on multiple sensors
A human detection and multi-sensor technology, applied in character and pattern recognition, instruments, image data processing, etc., can solve problems not mentioned
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[0040] to combine Figure 1 to Figure 9 , detailing the system.
[0041] figure 1The block diagram of the system structure is shown. Arduino reads the pyroelectric sensor signal to complete the initial positioning, moves the camera to the range of human activities, and then the camera collects all visual information in the current viewing angle, and transmits the video sequence to the computer of the system. Use the HOG+SVM algorithm to detect the human body in the video, and then adjust the camera servo and chassis motor so that the human body always appears within the viewing angle of the camera. The computer uses Adaboost to perform face detection on the cropped human body frame image. If a human body is detected The face uses PCA for identification. If no face is detected, the human body PCA is directly used for identification. The reason why PCA is not directly used for identification is that using PCA to directly identify a face is more important than identifying the en...
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