Pedestrian volume statistical system and method
A technology for statistical systems and people flow, applied in neural learning methods, computing, computer components, etc., can solve the problems of video recognition method failure, high humanoid overlap rate, crowded carriages, etc., to save resource overhead and improve accuracy. and recall rate, the effect of reducing difficulty
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Embodiment 1
[0039] Such as figure 1 As shown, a people flow counting system includes:
[0040] Image collection module 1, described image collection module 1 is used for collecting the video data of flow of people in the enclosed area by fisheye camera, described video data is carried out frame extraction, obtains image set;
[0041] Model training module 2, described model training module 2 is used for importing image set, divides the pictures in image set into outer circle area and inner circle area; In the outer circle area of picture, mark out the facial features and the head of human body, obtain the first Human body marking data; use the first human body marking data to train the first human head detection model to obtain the first target detection model; mark the head of the human body in the inner circle area of the picture to obtain the second human body marking data; use the first human body marking data The second human head detection model is trained on the two human body...
Embodiment 2
[0054] Such as figure 2 Shown, a kind of people flow counting method comprises the following steps:
[0055] Collect the video data of the flow of people in the enclosed area through the fisheye camera, and frame the video data to obtain the image set;
[0056] Divide the pictures in the image set into the outer circle area and the inner circle area; mark the facial features and head of the human body in the outer circle area of the picture, and obtain the first human body marking data; use the first human body marking data to detect the first head detection model Perform training to obtain the first target detection model; mark the head of the human body in the inner circle area of the picture to obtain the second human body marking data; use the second human body marking data to train the second human head detection model to obtain the second target detection model;
[0057] Divide the pictures in the image set to be recognized into the outer circle area and the inner...
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