Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models

A. Yoneyama, C. H. Yeh, C. C.J. Kuo

研究成果: 書貢獻/報告類型會議論文篇章

93 引文 斯高帕斯(Scopus)

摘要

A new algorithm to eliminate moving cast shadow for robust vehicle detection and extraction in a vision-based highway monitoring system is investigated. The proposed algorithm is based on a simplified 2D vehicle/shadow model of six types projected on to a 2D image plane. Parameters of the joint 2D vehicle/shadow models can be estimated from the input video without light source and camera calibration information. Simulations are performed to verify that the proposed technique is effective for vision-based highway surveillance systems.

原文英語
主出版物標題Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
發行者Institute of Electrical and Electronics Engineers Inc.
頁面229-236
頁數8
ISBN(電子)0769519717, 9780769519715
DOIs
出版狀態已發佈 - 2003
對外發佈
事件IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003 - Miami, 美国
持續時間: 2003 7月 212003 7月 22

出版系列

名字Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003

會議

會議IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
國家/地區美国
城市Miami
期間2003/07/212003/07/22

ASJC Scopus subject areas

  • 電腦網路與通信
  • 訊號處理

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