Night scene-oriented single-frame image pedestrian detection method and device
A pedestrian detection, frame image technology, applied in the field of target detection, can solve the problems of difficult detection tasks, blurred noise information in images, interference and other problems
Pending Publication Date: 2020-10-23
深延科技(北京)有限公司
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However, since pedestrians are generally moving, the captured images often show a dynamic trend, resulting in blurred images and noise information interference. Moreover, pedestrians themselves have special attributes, which can be presented due to various factors such as clothing, posture, and shape. Diversity, which makes it difficult to accurately implement pedestrian detection tasks
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[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0039] Such as figure 1 As shown, the single-frame image pedestrian detection method for night scenes in the embodiment of the present invention includes the following steps:
[0040] S1. Obtain a data set including multiple nighttime single-frame images, and perform enhancement processing on the nighttime single-frame images in the data set.
[0041] Among them, the data set may contain a large number of single-frame images taken in night scenes, for example...
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The invention provides a night scene-oriented single-frame image pedestrian detection method and device, and the method comprises the following steps: obtaining a data set comprising a plurality of night single-frame images, and carrying out the enhancement of the night single-frame images in the data set; constructing a neural network, the neural network comprising a feature extraction network and a prediction network, the feature extraction network fusing a plurality of backbone networks, each backbone network fusing a deformable convolutional network, and the prediction network comprising adouble-branch structure; training the neural network through the enhanced data set to obtain a pedestrian detection model; and carrying out pedestrian detection on a to-be-detected night single-frameimage through the pedestrian detection model. Pedestrian detection for night scene images can be realized, and the accuracy and the robustness are high.
Description
technical field [0001] The present invention relates to the technical field of target detection, in particular to a single-frame image pedestrian detection method for night scenes, a single-frame image pedestrian detection device for night scenes, a computer device, and a non-temporary computer-readable storage media and a computer program product. Background technique [0002] Pedestrian Detection refers to the use of computer vision and other technologies to determine whether there are pedestrians in an image or video sequence and give precise positioning. Pedestrian detection technology has a very wide range of applications in intelligent assisted driving, pedestrian analysis, automatic driving, intelligent robots and other fields. However, since pedestrians are generally moving, the captured images often show a dynamic trend, resulting in blurred images and noise information interference. Moreover, pedestrians themselves have special attributes, which can be presented d...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/23G06V2201/07G06N3/045G06F18/24G06F18/253G06F18/214
Inventor 陈海波罗志鹏徐振宇姚粤汉
Owner 深延科技(北京)有限公司