首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Survey on Pedestrian Detection, Classification and Tracking
  • 本地全文:下载
  • 作者:Rudra Gouda ; Jyothi S Nayak
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:4
  • 页码:3469-3474
  • 出版社:TechScience Publications
  • 摘要:Detection of human beings with accuracy in visual surveillance systems is important for various application areas like remote and mobile monitoring, traffic monitoring, public safety and abnormal event detection. The first step in detection process is to detect the object which is in motion and further classify it and track the objects. The paper further directs towards the detection and tracking of humans, so called pedestrians and a comprehensive review on the available techniques for Pedestrians in surveillance videos is presented in this paper.
  • 关键词:Object detection; Object tracking; pedestrian;detection and Background subtraction
国家哲学社会科学文献中心版权所有