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Enhancement of human body detection and tracking algorithm based on Viola and Jones framework

机译:基于Viola和Jones框架的人体检测与跟踪算法的增强

摘要

Computer vision application for the human body detection is a fundamental research problem in the areas such as surveillance, search and rescue missions, autonomous driving and other. Building an effective human body detector algorithm is a complex task due to articulation, clothing and illumination conditions. This paper evaluates human body detection and tracking methodology based on the Viola and Jones framework. Presented enhancement aims to address some of the drawbacks from their work which are, sensitivity to noise, poor performances with the complex backgrounds and limits on the scale and rotation.
机译:计算机视觉在人体检测中的应用是监视,搜索和救援任务,自动驾驶等领域的基础研究问题。由于关节,衣服和照明条件的影响,构建有效的人体检测器算法是一项复杂的任务。本文评估了基于Viola和Jones框架的人体检测和跟踪方法。提出的增强功能旨在解决其工作中的一些缺点,例如对噪声的敏感性,背景复杂且性能不佳以及缩放比例和旋转度受限等。

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  • 作者

    Krerngkamjornkit R; Simic M;

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  • 年度 2013
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