Shadow detection and removal for illumination consistency on the road

机译：阴影检测和去除，以确保道路上的照明一致性

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摘要

Shadows on the road always trouble vision tasks like visual navigation and road detection. Shadows will change road characteristics and occlude road objects. It is a great challenge to effectively detect and remove the shadows on the road to maintain illumination consistency for the vehicle. To tackle the adverse effect caused by shadows on the road, this paper attempts to detect shadows with Support Vector Machine (SVM) based on color saliency space and gradient field. Shadowed areas are distinguished and recognized by nonlinear SVM classifier through reconstructing road shadow descriptor after analyzing its color saliency space and gradient information. Then adaptive variable scale regional compensation operator is adopted to remove the shadows. Extensive experiments show that the shadow detection and removal method proposed in this paper has good feasibility and adaptability, and the method performs well under a variety of road environment.

机译：道路上的阴影总是困扰视觉任务，例如视觉导航和道路检测。阴影会改变道路特征并遮挡道路物体。有效地检测并去除道路上的阴影以维持车辆的照明一致性是一个巨大的挑战。为了解决阴影对道路的不利影响，本文尝试基于颜色显着空间和梯度场，利用支持向量机（SVM）对阴影进行检测。在分析阴影显色空间和梯度信息后，通过重建道路阴影描述符，通过非线性SVM分类器对阴影区域进行识别和识别。然后采用自适应变尺度区域补偿算子去除阴影。大量实验表明，本文提出的阴影检测与去除方法具有良好的可行性和适应性，在各种道路环境下该方法都具有良好的效果。

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来源
《2017 International Conference on Security, Pattern Analysis, and Cybernetics》|2017年|198-203|共6页
会议地点 Shenzhen(CN)
作者
Chunxiang Wang; Liuyuan Deng; Zhiyu Zhou; Ming Yang; Bing Wang;
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作者单位

Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China;

Department of Automation, Shanghai Jiao Tong University, Shanghai, China;

Department of Automation, Shanghai Jiao Tong University, Shanghai, China;

Department of Automation, Shanghai Jiao Tong University, Shanghai, China;

Department of Automation, Shanghai Jiao Tong University, Shanghai, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Roads; Image color analysis; Lighting; Support vector machines; Feature extraction; Kernel; Brightness;

机译：道路;图像颜色分析;照明;支持向量机;特征提取;核;亮度;;

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专利

1. A Robust Approach for Road Detection with Shadow Detection Removal Technique [J] . N. N. Ahmed Salim, X. Cheng, X. Degui Information Technology Journal . 2014,第4期

机译：阴影检测去除技术的鲁棒道路检测方法
2. A Robust Approach for Road Detection with Shadow Detection Removal Technique [J] . N.N. Ahmed Salim, X. Cheng, X. Degui Information Technology Journal . 2014,第4期

机译：阴影检测去除技术的鲁棒道路检测方法
3. A real-time system for vehicle detection with shadow removal and vehicle classification based on vehicle features at urban roads [J] . Issan Atouf, Wahban Yahya Al Okaishi, Abdelmoghit Zaaran, International Journal of Power Electronics and Drive Systems . 2020,第4期

机译：基于城市道路车辆特征的浊度和车辆分类的车辆检测实时系统
4. Shadow detection and removal for illumination consistency on the road [C] . Chunxiang Wang, Liuyuan Deng, Zhiyu Zhou, International Conference on Security, Pattern Analysis, and Cybernetics . 2017

机译：阴影检测和去除道路照明一致性
5. Cloud shadow detection and removal from aerial photo mosaics using light detection and ranging (LIDAR) reflectance images. [D] . George, Glover Eugene. 2011

机译：使用光检测和测距（LIDAR）反射率图像，从航空照片马赛克中检测和消除云影。
6. Robust Vehicle Detection and Counting Algorithm Adapted to Complex Traffic Environments with Sudden Illumination Changes and Shadows [O] . Yue Chen, Wusheng Hu 2020

机译：适用于光照变化和阴影突然变化的复杂交通环境的鲁棒车辆检测和计数算法
7. A Robust Approach for Road Detection with Shadow Detection Removal Technique [O] . N.N. Ahmed Salim, X. Cheng, X. Degui 2014

机译：暗影检测去除技术的道路检测鲁棒方法

Shadow detection and removal for illumination consistency on the road

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