• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Combining Segmentation and Tracking for the Classification of Moving Objects in Video Scenes
【24h】

Combining Segmentation and Tracking for the Classification of Moving Objects in Video Scenes

机译：结合分割和跟踪用于视频场景中运动物体的分类

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper describes a method of detecting, tracking and identifying moving objects in video scenes. The method is based on an adaptive change detector which detects and tracks moving objects and extracts silhouettes of the objects from the background so they can be classified by shape. The adaptive change detector uses estimates of image noise and contrast to dynamically adjust decision thresholds. A principal feature of this method is the synergistic interaction between the tracker, the segmenter and the classifier to eliminate uninteresting objects, to improve estimates of the background and noise, to guide threshold selection, and to influence feature selection classification. 9 refs., 4 figs. (ERA citation 14:015640)

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