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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-236
Number of pages8
ISBN (Electronic)0769519717, 9780769519715
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventIEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003 - Miami, United States
Duration: 2003 Jul 212003 Jul 22

Publication series

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

Conference

ConferenceIEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003
Country/TerritoryUnited States
CityMiami
Period2003/07/212003/07/22

Keywords

  • Calibration
  • Cameras
  • Data mining
  • Intelligent vehicles
  • Light sources
  • Monitoring
  • Road transportation
  • Robustness
  • Surveillance
  • Vehicle detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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