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Night pedestrian detection method based on statistical features of infrared pedestrian brightness

A statistical feature and pedestrian detection technology, applied in computing, computer components, instruments, etc., can solve the problem of not considering the statistical characteristics of infrared pedestrian brightness distribution

Active Publication Date: 2015-07-15
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0005] The above method does not consider the statistical characteristics of the brightness distribution of infrared pedestrians

Method used

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  • Night pedestrian detection method based on statistical features of infrared pedestrian brightness
  • Night pedestrian detection method based on statistical features of infrared pedestrian brightness
  • Night pedestrian detection method based on statistical features of infrared pedestrian brightness

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Embodiment Construction

[0056] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0057] Such as figure 1 , figure 2 and image 3 As shown, a nighttime pedestrian detection method based on the statistical characteristics of infrared pedestrian brightness, which specifically includes the following steps:

[0058] Step 1. Construct positive and negative sample datasets of infrared images.

[0059] The present invention is mainly aimed at the detection of pedestrians in the case of vehicles, so the scenes for collecting images are mainly infrared images in road scenes.

[0060] The method of constructing the positive sample data set is as follows: Use the smallest rectangular window, that is to say, use a rectangular frame that can just surround pedestrians to extract pedestrian samples in the infrared image; assume that the height of the pedestrian is h and the width is w, so that w / h = 0.41; A total of posit...

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Abstract

The invention discloses a night pedestrian detection method based on statistical features of infrared pedestrian brightness. According to the method, gray average information of parts of one pedestrian and a negative sample in a sample database is firstly subjected to statistical processing, a mapping interval boundary is determined by the aid of the information, and a brightness histogram feature for distinguishing vote interval division is constructed; then, a histogram feature in the gradient direction is calculated, and the two features are combined to form a final feature descriptor; secondarily, model training is performed by the aid of Adaboost in combination of a decision tree, and pedestrian determination and positioning are performed with a sliding window scanning method; finally, when a classifier obtains lower degree of confidence through classification judgment on a certain detection frame, a brightness interval template is adopted for secondary judgment, so that night pedestrian detection is realized. Pedestrians in the night environment are effectively detected, and the method has the characteristics of high detection rate and adaptability.

Description

technical field [0001] The invention relates to a pedestrian detection method of a vehicle-mounted video image, in particular to a pedestrian detection method at night based on the statistical characteristics of infrared pedestrian brightness. Background technique [0002] Pedestrian detection technology is an important application of computer vision, which has high practical value in daily life and production. Pedestrian detection based on vision is to judge the specific location of pedestrians from the input picture or video frame sequence according to certain image processing technology. The intelligent vehicle assisted driving system can improve the safety of vehicle driving, thereby reducing the occurrence of traffic accidents, and pedestrian detection technology is one of the core technologies in the intelligent assisted driving system. [0003] Vision-based pedestrian detection technology at night mainly uses visible light images, infrared images and other technologi...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 徐向华王路杰
Owner HANGZHOU DIANZI UNIV
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