基于梯度的兴趣区域选择快速行人检测

2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2013-10-24 DOI:10.1109/ICCP.2013.6646098

R. Varga, S. Nedevschi

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引用次数: 2

摘要

本文提出了一种基于可变大小检测窗口的行人检测方法。其主要目的是在保持高检出率的同时促进更快的检测。通过有效的兴趣区域选择方法和巧妙的检测系统架构实现了加速。这两个贡献可以潜在地实现单目图像上的实时行人检测。

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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Gradient-based region of interest selection for faster pedestrian detection

This paper presents an approach to pedestrian detection that relies on a variable sized detection window. Its main aim is to facilitate a faster detection while maintaining a high detection rate. Speed-up is achieved by an efficient region of interest selection method and a clever detection system architecture. These two contributions can potentially enable realtime pedestrian detection on monocular images.

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来源期刊

2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)

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