Pedestrian detection method and system

A pedestrian detection and histogram technology, which is applied to instruments, computing, character and pattern recognition, etc., can solve the problems of low false alarm rate and false alarm rate, low training speed, and high computational complexity, so as to reduce the detection time, detect The effect of high efficiency and high detection accuracy

Inactive Publication Date: 2015-11-25
BYD CO LTD
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Problems solved by technology

However, for a sample set of a specified size, the disadvantage of the HOG feature is that its dimensionality is high, resulting in a low training speed.
In applications such as driving assistance systems, the real-time performance and robustness requirements of the

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  • Pedestrian detection method and system
  • Pedestrian detection method and system

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Embodiment Construction

[0019] The embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary, and are only used to explain the present invention, and cannot be construed as limiting the present invention.

[0020] In the description of the present invention, it should be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, not It indicates or implies that th...

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Abstract

The invention brings forward a pedestrian detection method and system. The method includes the following steps: extracting the histograms of oriented gradient (HOG) characteristic vector of a training sample, decomposing the HOG characteristic vector to obtain an HOG-NMF characteristic vector; establishing a support vector machine (SVM) classifier on the basis of the HOG-NMF characteristic vector and an additive cross kernel function; screening scan windows of a sample image to obtain a candidate sample; obtaining the HOG-NMF characteristic vector of the candidate sample; and identifying the HOG-NMF characteristic vector of the candidate sample according to the SVM classifier to obtain a pedestrian detection result. According to the method, the pedestrian detection time can be effectively reduced, the detection efficiency is high, and the detection precision is high. The invention also provides a pedestrian detection system.

Description

Technical field [0001] The invention relates to the technical field of automobile safety, in particular to a pedestrian detection method and system. Background technique [0002] In order to ensure vehicle safety, more and more vehicles are equipped with pedestrian detection devices to remind the driver whether there are pedestrians around the vehicle. However, due to the characteristics of pedestrians and their surrounding environment, it is still a difficult task to achieve more accurate and real-time detection. This is mainly because pedestrians are a non-rigid object. The differences in standing angles, clothing, occlusion, etc., lead to the complexity of pedestrian detection; in addition, the camera angle and attributes, illumination angle and intensity, and the diversity of surrounding objects are also different. It brings certain difficulty to the accurate detection of the target. In the method based on statistical learning, pedestrian detection can be regarded as a bina...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 姜波黄忠伟
Owner BYD CO LTD
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