Brake lamp recognition method and device and electronic equipment

A brake light and identification network technology, applied in the field of image processing, can solve the problems of inaccuracy, low accuracy of identifying brake lights, and detection interference in the area of ​​lights, so as to improve driving safety, improve recognition accuracy, and improve accuracy. Effect

Active Publication Date: 2020-05-22
HANGZHOU HIKVISION DIGITAL TECH
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Problems solved by technology

[0004] However, the area where the headlights are determined by color space transformation is often inaccurate, resulting in low accuracy...

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  • Brake lamp recognition method and device and electronic equipment
  • Brake lamp recognition method and device and electronic equipment
  • Brake lamp recognition method and device and electronic equipment

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Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to make the above-mentioned purposes, features and advantages of the embodiments of the present invention more obvious and understandable, the following describes the existing technical solutions and the present invention in conjunction with the accompanying drawings. The technical solutions in the embodiments of the invention are described in further detail.

[0050] The technical solution of the present application is realized based on a target detection network, a fully convolutional neural network (Fully Convolutional Networks, FCN) and a brake light recognition network.

[0051] Among them, the target detection network in this application can be Faster RCNN (Faster Regions with CNNfeatures), therefore, the target detection network includes a basic feature extraction network (Convolutional Neural Network, CNN), a region recommendat...

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Abstract

The invention provides a brake lamp recognition method and device and electronic equipment, and the method comprises the steps of inputting a target image into a trained target detection network, andobtaining a plurality of feature maps with specified sizes, wherein the feature map of the specified size corresponds to a region of interest in the target image; inputting the feature maps of the specified sizes into a trained full convolutional neural network for taillight segmentation to obtain masks of the feature maps of the specified sizes, the masks indicating positions of taillights turnedon in the target image; and inputting the mask into a trained stop lamp identification network to obtain a classification result corresponding to the mask, the classification result representing whether a taillight turned on in the mask is a stop lamp. According to the application, the accuracy of identifying the area where the turned-on taillight is located is improved, so that the identification accuracy of the brake light can be improved, and the advanced driving assistance system is more helpful for improving the driving safety.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a brake light recognition method, device and electronic equipment. Background technique [0002] The Advanced Driver Assistant System (ADAS) can use various types of sensors on the vehicle to collect environmental data inside and outside the vehicle in real time, and then realize the identification, detection and tracking of static or dynamic objects, thereby assisting the driver in the shortest possible time. Perceive potential dangers to improve driving safety. The detection of brake lights is among the functions implemented by advanced driver assistance systems for detecting objects. [0003] In the related art, the vehicle in the image taken by the vehicle camera is identified by establishing a sample library of vehicle recognition, and then the position of the vehicle in the detected image is set as the region of interest (Region of Interest, ROI), and th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06N3/04
CPCG06V20/584G06V10/25G06N3/045
Inventor 张明
Owner HANGZHOU HIKVISION DIGITAL TECH
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