Pedestrian detection method

A pedestrian detection and pedestrian technology, applied in the field of pedestrian detection and recognition based on SVM and HOG, can solve the problem of low pedestrian detection rate and achieve the effect of improving detection rate and strong stability

Pending Publication Date: 2019-06-28
珠海大轩信息科技有限公司
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Problems solved by technology

[0007] The main purpose of the present invention is to provide a pedestrian detection method, which overcomes the deficiencies in the prior art, and improves the detection rate of pedestrians through the combined strategy of detecting people's heads and legs, so that the pedestrian detection and recognition method based on SVM and HOG can solve the pedestrian detection rate. not high problem

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Embodiment Construction

[0046] The following description serves to disclose the present invention to enable those skilled in the art to carry out the present invention. The preferred embodiments described below are only examples, and those skilled in the art can devise other obvious variations.

[0047] like Figure 1 to Figure 2 Shown is a kind of pedestrian detection method, described pedestrian detection method, comprises steps:

[0048] Step1: Train the SVM classifier.

[0049] SVM classifier:

[0050] SVM (Support Vector Machine) refers to a support vector machine, which is a common discriminant method. In the field of machine learning, it is a supervised learning model, usually used for pattern recognition, classification and regression analysis.

[0051] The SVM method maps the sample space to a high-dimensional or even infinite-dimensional feature space (Hilbert space) through a nonlinear mapping, so that the problem of nonlinear separability in the original sample space is transformed into...

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Abstract

A pedestrian detection method provided by the invention comprises the following steps: S100, training SVM (Support Vector Machine) classifiers, and training the two SVM classifiers by taking a human head and two legs as positive samples and taking a pedestrian background as a negative sample; S200, constructing an image pyramid by using the to-be-detected image; S300, sliding the window, and intercepting a target window on each scale of the image pyramid; S400, extracting HOG features from the target window; S500, sending the HOG features extracted in the step S400 into an SVM classifier, andjudging whether the target window is the head of a pedestrian, the two legs of the pedestrian or the pedestrian background in a classified mode; And S600, combining pedestrians according to the head and leg results detected in the step S500, and judging whether the to-be-detected image contains the pedestrians or not. Therefore, the pedestrian detection rate is improved by detecting the combination strategy of the human head and the two legs, and the problem that the pedestrian detection rate is not high is solved through the pedestrian detection and recognition method based on the SVM and theHOG.

Description

technical field [0001] The invention relates to the technical field of intelligent identification, in particular, a pedestrian detection and identification method based on SVM and HOG, which is applicable to the fields of intelligent assisted driving, intelligent monitoring, pedestrian analysis, intelligent robots and the like. Background technique [0002] In recent years, with the rapid development of intelligent detection, pedestrian detection has also entered a relatively rapid development stage, but there are still many problems to be solved, especially in terms of performance and speed. [0003] At present, pedestrian detection technology can be roughly divided into two categories: 1. Based on background modeling, use the background modeling method to extract the foreground moving target, perform feature extraction in the target area, and then use the classifier to classify to determine whether pedestrians are included , the main problems in background modeling at pres...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 潘钰华
Owner 珠海大轩信息科技有限公司
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