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Video analytics for multi-camera traffic surveillance

Published: 03 November 2009 Publication History

Abstract

A low-cost Video Image Detection Systems (VIDS) is introduced. Using video analytics, the system can count the number of vehicles making a left (or right) turn at an unseen intersection plus collect statistics on other traffic conditions. Other functionality can be added. Two cameras with non-overlapping views were used as the information source. Between them was situated a "T" intersection. Comparing the automated data collected from the two cameras' video with manually generated truth data, no errors were found over five minutes of video.

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Cited By

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  • (2019)Video Surveillance-Based Intelligent Traffic Management in Smart CitiesIntelligent Video Surveillance10.5772/intechopen.76386Online publication date: 13-Mar-2019
  • (2017)Glyph-based video visualization on Google Map for surveillance in smart citiesEURASIP Journal on Image and Video Processing10.1186/s13640-017-0175-42017:1Online publication date: 12-Apr-2017

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cover image ACM Conferences
IWCTS '09: Proceedings of the Second International Workshop on Computational Transportation Science
November 2009
53 pages
ISBN:9781605588612
DOI:10.1145/1645373
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2009

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View all
  • (2019)Video Surveillance-Based Intelligent Traffic Management in Smart CitiesIntelligent Video Surveillance10.5772/intechopen.76386Online publication date: 13-Mar-2019
  • (2017)Glyph-based video visualization on Google Map for surveillance in smart citiesEURASIP Journal on Image and Video Processing10.1186/s13640-017-0175-42017:1Online publication date: 12-Apr-2017

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