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Robust Vehicle Detection and Counting Algorithm Adapted to Complex Traffic Environments with Sudden Illumination Changes and Shadows

机译：强大的车辆检测和计数算法适用于复杂的交通环境，突然照明变化和阴影

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Yue Chen; Wusheng Hu;
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1. Vehicles detection for illumination changes urban traffic scenes employing adaptive local texture feature background model [J] . Yunsheng Zhang, Chihang Zhao, Wen Shi, Intelligent Transport Systems, IET . 2018,第10期

机译：自适应局部纹理特征背景模型对城市交通场景照明变化的车辆检测
2. Preceding Vehicle Detection and Tracking Adaptive to Illumination Variation in Night Traffic Scenes Based on Relevance Analysis [J] . Chuanqiang Yu, Jianqiang Wang, Junbin Guo, Sensors . 2014,第8期

机译：基于相关性分析的自适应夜视场景照明变化的前车检测与跟踪
3. Shadow Detection by Three Shadow Models with Features Robust to Illumination Changes [J] . Shuya Ishida, Shinji Fukui, Yuji Iwahori, Procedia Computer Science . 2014,第1期

机译：三种具有强大照明变化功能的阴影模型进行阴影检测
4. An Energy-Efficient Vehicle Detection Algorithm for a Complex Urban Traffic Environment [C] . Han He, Tao Jiang, Hongpeng Zhao, Coat international conference of transportation professionals . 2015

机译：复杂城市交通环境中的高效节能车辆检测算法
5. Robust-intelligent traffic signal control within a vehicle-to-infrastructure and vehicle-to-vehicle communication environment. [D] . He, Qing. 2010

机译：车辆对基础设施和车辆对车辆通信环境中的鲁棒智能交通信号控制。
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. Preceding Vehicle Detection and Tracking Adaptive to Illumination Variation in Night Traffic Scenes Based on Relevance Analysis [O] . Junbin Guo, Jianqiang Wang, Xiaosong Guo, 2014

机译：基于相关性分析的夜间交通场景中车辆检测与跟踪自适应照明变化

Robust Vehicle Detection and Counting Algorithm Adapted to Complex Traffic Environments with Sudden Illumination Changes and Shadows

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