...
首页> 外文期刊>Recent patents on computer science >A Review on Pedestrian Crossing Detection and Behavior Analysis: In Intelligent Transportation System
【24h】

A Review on Pedestrian Crossing Detection and Behavior Analysis: In Intelligent Transportation System

机译:智能交通系统中的人行横道检测与行为分析综述

获取原文
获取原文并翻译 | 示例

摘要

Pedestrian detection and behavior analysis is an active research area with challenge in ITS. This text mainly emphasizes the research methods and the pedestrian detection fruits. According to the frame of pedestrian detection system, the pedestrian detection method based on machine vision, the pedestrian detection method under multi-sensor information fusion, the principle for pedestrian tracking and pedestrian behavior analysis are summarized in turn. Classifying the research methods above, it divides machine vision detection method into static background and dynamic background. Considering the pedestrian detection principle with multi-sensor information fusion, it was divided into the one based on classic mathematics and the other one based on AI. Pedestrian tracking methods are divided into the matching step and the probability prediction step. For the Pros and cons, they are also analyzed and concluded. Finally, some currently problems are proposed. Besides, the pedestrian detection method patents combining the future tendency of communication, automation and computer technology are expected by authors.
机译:行人检测和行为分析是ITS中一个充满挑战的活跃研究领域。本文主要着重研究方法和行人检测的成果。根据行人检测系统的框架,依次总结了基于机器视觉的行人检测方法,多传感器信息融合下的行人检测方法,行人跟踪原理和行人行为分析。对以上研究方法进行分类,将机器视觉检测方法分为静态背景和动态背景。考虑到具有多传感器信息融合的行人检测原理,将其分为基于经典数学的一种和基于人工智能的另一种。行人跟踪方法分为匹配步骤和概率预测步骤。对于优缺点,还将对其进行分析和总结。最后,提出了一些当前的问题。此外,作者期望结合通信,自动化和计算机技术的未来趋势的行人检测方法专利。

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