A method and device for counting people in pictures based on convolutional neural network
A convolutional neural network and human head technology, which is applied in the field of image head counting technology in deep learning, and can solve problems such as poor real-time performance and large number of parameters.
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[0096] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0097] This embodiment relates to a flow analysis system for people, such as Figure 4 As shown, it includes a server 100 set in the computer room and several front-end cameras 200 set at monitoring points. The front-end camera 200 is connected to the server 100 through the network 300 . The server 100 obtains the live scene real-time image of the monitoring point through the front-end camera 200, and then analyzes the obtained real-time image through a convolutional neural network-based picture head counting method of the present invention, counts the number of people, and then calculates the flow of people.
[0098] The picture head counting method based on the convolutional neural network of the present invention is a method realized by a software program. The method comprises the following steps: a model initialization step, a data initialization step, ...
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