首页> 外文期刊>International Journal of Intelligent Transportation Systems Research >Estimation of Pedestrian Pose and Orientation Using on-Board Camera with Histograms of Oriented Gradients Features
【24h】

Estimation of Pedestrian Pose and Orientation Using on-Board Camera with Histograms of Oriented Gradients Features

机译:使用导向梯度特征的载模摄相机的行人姿势和方向估算

获取原文
获取原文并翻译 | 示例
           

摘要

Understanding pedestrian behavior, including head and body orientation, is important for a pedestrian safety system. In this paper, we propose an approach that estimates head pose and body orientation by considering two constraints, the pedestrian model constraint between head and body directions and the temporal constraint. In our approach, given an image of pedestrian, image features are extracted and estimates are made of the probabilities of the head position, size and orientation, and the body orientation; these are obtained using a multi-class classifier and tracked by particle filter. We applied two constraints to the particle filter to achieve more accurate estimate. Experiments using real videos from an on-board monocular camera show the effectiveness of our approach.
机译:了解行人行为,包括头部和身体取向,对行人安全系统很重要。在本文中,我们提出了一种方法,即通过考虑两个约束,头部和身体方向之间的行人模型约束以及时间约束来估计头部姿势和身体取向。在我们的方法中,鉴于行人的图像,提取图像特征,并且估计是头部位置,尺寸和方向的概率和身体方向的概率。使用多级分类器获得这些,并由粒子滤波器跟踪。我们将两个约束应用于粒子过滤器以实现更准确的估计。使用从板载单眼摄像头使用真实视频的实验表明了我们方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号