Adaptive Vehicle Shadow Detection Algorithm in Highway

Yufeng He, Jiatian Li, Hua Wang, Haixia Pu, Ruixing Li
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引用次数: 3

Abstract

Traditional shadow suppression method based on HSV color space was proved to be an effective method. However, shadow detection with fixed parameters does not meet the change of monitored scene. According to vehicle property and scene change by the shadow projection, this article proposed an adaptive detection algorithm to achieve proposes of adaptive shadow suppression without adjusts the threshold manually. Experiment result shows that, in the process of monitoring and tracking on the highway, this method can adaptively suppress the shadow in the condition of the scene change.
高速公路车辆阴影自适应检测算法
传统的基于HSV色彩空间的阴影抑制方法被证明是一种有效的方法。但是,固定参数的阴影检测不能满足被监控场景的变化。根据车辆特性和阴影投影引起的场景变化,本文提出了一种自适应检测算法,实现了不需要手动调整阈值的自适应阴影抑制。实验结果表明,在高速公路监控跟踪过程中,该方法能够自适应抑制场景变化情况下的阴影。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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