A fast pedestrian detection method for complex public scenes based on depth learning

A public scene and pedestrian detection technology, applied in the field of image processing, can solve the problems of slow speed and difficult analysis of target pedestrians, and achieve the effect of fast detection and fast detection speed

Inactive Publication Date: 2018-12-14
北京图示科技发展有限公司
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AI Technical Summary

Problems solved by technology

Due to the huge amount of video data and many pedestrians, it is often difficult to quickly and accurately analyze the target pedestrians by relying on manual analysis.
However, some existing automatic pedestrian detection methods are often slow and cannot complete real-time monitoring of pedestrian targets.

Method used

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  • A fast pedestrian detection method for complex public scenes based on depth learning
  • A fast pedestrian detection method for complex public scenes based on depth learning
  • A fast pedestrian detection method for complex public scenes based on depth learning

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Embodiment Construction

[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] A public scene intelligent video monitoring method based on visual saliency and depth self-encoding according to the present invention includes: performing single-frame decomposition on the video in the public scene, and using bilinear interpolation in the decomposed video frames method converts the image to a fixed pixel size. The training of the pedestrian detection network is divided into two processes: pre-training and final training. In the pre-training, the training database is used as the training sample, the training is based on the classification task, the cross-entropy function is defined as the loss function, and the entire network is trained through the loss function. In the final training process, most of the structure...

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Abstract

The invention relates to a fast pedestrian detection method for complex public scenes based on depth learning, wherein the method includes pixel size preprocessing of a training image and a test image, pre-training of a convolution neural network based on classification tasks, pedestrian detection training of the convolution neural network based on pedestrian detection tasks, use of threshold filter to eliminate prediction boxes with low confidence, and use of non-maximum inhibition to eliminate multiple prediction of the same pedestrian. Cross entropy is used as loss function in pre-training.Finally, the improved mean square error is used as the loss function to make the network output the regression results of predicting the location of pedestrians. In the testing phase, the image is used as the input of the convolution neural network, and the threshold filter and non-maximum suppression are used to filter all the output prediction results of the convolution neural network, so thatthe pedestrian location information can be detected and the pedestrian intelligent monitoring can be realized.

Description

technical field [0001] The invention relates to image processing technology, in particular to a method for fast pedestrian detection in public scenes based on convolutional neural networks. Background technique [0002] In recent years, surveillance cameras have been used in various public places. Public scenes such as airports, stations, hospitals, and roads have covered thousands of surveillance cameras to detect abnormal behaviors of pedestrians in public scenes for analyzing and discovering the flow of people. , it is of great significance to track specific groups of people. Due to the huge amount of video data and many pedestrians, it is often difficult to quickly and accurately analyze the target pedestrians by relying on manual analysis. However, some existing automatic pedestrian detection methods are often slow and cannot complete real-time monitoring of pedestrian targets. In order to realize the automatic real-time detection of pedestrians in public scenes, it i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06T3/40
CPCG06T3/40G06V20/53G06F18/2148G06F18/24
Inventor 张峰
Owner 北京图示科技发展有限公司
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