Human body segmentation in a static image with multiscale superpixels

Meng Yao, Huchuan Lu
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引用次数: 4

Abstract

In this work, we propose a new method for human body accurate detection in a static image with multiscale superpixels. The main contribution of this work is as follows: (1) A new framework for human body accurate detection using multiscale superpixels and classifier with autothreshold is proposed. (2) Some effective constraints for human body detection are given. Experimental results show the framework can accurately detect the human body in most situations. The dataset we use is a collection of photos of humans, varying in pose and clothing with complex backgrounds.
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多尺度超像素静态图像的人体分割
本文提出了一种多尺度超像素静态图像中人体精确检测的新方法。本文的主要贡献如下:(1)提出了一种基于多尺度超像素和自动阈值分类器的人体精确检测新框架。(2)给出了人体检测的有效约束条件。实验结果表明,该框架在大多数情况下都能准确地检测到人体。我们使用的数据集是人类照片的集合,在复杂的背景下,姿势和服装各不相同。
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