Detecting Pedestrians
Detecting Pedestrians
复制标题
检测行人
DOI：
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发表时间：
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期刊：
影响因子：
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通讯作者：
N. Alldrin
中科院分区：
文献类型：
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作者：
N. Alldrin
Viola，Jones和Snow最近实现了一个行人检测系统，该系统实时结合了外观和运动。简单的像素和滤波器被提升为强大的行人分类器。然后通过保持这些简单滤波器的线性组合来实现检测。滤波器的简单性，加上沿着一些实现技巧，使系统能够实时运行。运动信息是通过在时间上取连续帧之间的差来合并的。本文是他们的系统的重新实现，目的是评估他们的方法的优点和缺陷。我还讨论了他们的论文中没有充分解释的一些问题，例如如何训练级联中使用的功能，并提供了性能比较。
Viola, Jones, and Snow recently implemented a pedestrian detection sys-tem that incorporates both appearance and motion in real-time. Simple sum-of-pixel filters are boosted into a robust pedestrian classifier. Detection is then achieved by thesholding a linear combination of these simple filters. The simplicity of the filters, along with some implementation tricks, enables the system to run in real-time. Motion information is incorporated by taking differences between successive frames in time. This paper is a reimplementation of their system, with the purpose of evaluating the merits and pitfalls of their approach. I also discuss some issues that were inadequately explained in their paper, such as how to train features used in the cascade, and provide a performance comparison.
影响因子：
19.5
作者：
Viola, P;Jones, MJ;Snow, D
通讯作者：
Snow, D