Estimating urban activity on high-resolution thermal image sequences aided by large scale vector maps

E. Michaelsen, U. Stilla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

In this contribution we describe a method to assess the activity of vehicles based on airborne image sequences from an infrared camera. At the resolution of approximately one meter vehicles appear as elongated spots. In urban areas many additional other objects have the same property. To discriminate vehicles from these objects we fuse information from IR-images and vector-maps. Also, evidence from overlapping areas of frames or an IR-sequence is accumulated in the scene. We also perform grouping of vehicles into rows along the margins of the roads. These tasks can be automatically performed by a production net. The generic productions for grouping become feasible through the use of map knowledge as context.

Original languageEnglish
Title of host publicationIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-29
Number of pages5
ISBN (Electronic)0780370597, 9780780370593
DOIs
StatePublished - 2001
Externally publishedYes
EventIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001 - Rome, Italy
Duration: 8 Nov 20019 Nov 2001

Publication series

NameIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001

Conference

ConferenceIEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
Country/TerritoryItaly
CityRome
Period8/11/019/11/01

Keywords

  • Infrared surveillance
  • Machine vision
  • Object recognition
  • Urban areas
  • Vehicles

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