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首页> 外文期刊>Journal of Imaging Science and Technology >Effective Reflection Suppression Method for Vehicle Detection in Complex Nighttime Traffic Scenes
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Effective Reflection Suppression Method for Vehicle Detection in Complex Nighttime Traffic Scenes

机译：复杂夜间交通场景中车辆检测有效反射抑制方法

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摘要

Headlight is the most explicit and stable image feature in nighttime scenes. This study proposes a headlight detection and pairing algorithm that adapts to numerous scenes to achieve accurate vehicle detection in the nighttime. This algorithm improved the conventional histogram equalization by using the difference before and after the equalization to suppress the ground reflection and noise. Then, headlight detection was completed based on this difference as a feature. In addition, the authors combined coordinate information, moving distance, symmetry, and stable time to implement headlight pairing, thus enabling vehicle detection in the nighttime. This study effectively overcame complex scenes such as high-speed movement, multi-headlight, and rains. Finally, the algorithm was verified by videos of highway scenes; the detection rate was as high as 96.67%. It can be implemented on the Raspberry Pi embedded platform, and its execution speed can reach 25 frames per second. (C) 2020 Society for Imaging Science and Technology.
机译：前灯是夜间场景中最明确和稳定的图像功能。本研究提出了前灯检测和配对算法，其适应众多场景，以实现夜间准确的车辆检测。该算法通过使用均衡前和之后的差异来改进传统的直方图均衡，以抑制地面反射和噪声。然后，基于该差异作为特征完成前灯检测。此外，作者组合了坐标信息，移动距离，对称性和稳定的时间来实现大灯配对，从而在夜间启用车辆检测。这项研究有效地克服了复杂的场景，如高速运动，多层灯和下雨。最后，通过高速公路场景的视频验证了该算法;检出率高达96.67％。它可以在覆盆子PI嵌入式平台上实现，其执行速度可以达到每秒25帧。 （c）2020年影像科技协会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2020年第4期|040402.1-040402.9|共9页
  • 作者

    Tsai Wen-Kai; Chen Hung-Ju;

  • 作者单位

    Natl Formosa Univ Coll Elect & Comp Engn Dept Elect Engn 64 Wunhua Rd Huwei Township 632 Yunlin Taiwan;

    Natl Formosa Univ Coll Elect & Comp Engn Dept Elect Engn 64 Wunhua Rd Huwei Township 632 Yunlin Taiwan;

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