Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context
Identifieur interne : 003909 ( Main/Exploration ); précédent : 003908; suivant : 003910Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context
Auteurs : Stefan Hinz [Allemagne] ; Albert Baumgartner [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: This paper introduces a new approach on automatic vehicle detection in monocular large scale aerial images. The extraction is based on a hierarchical model that describes the prominent vehicle features on different levels of detail. Besides the object properties, the model comprises also contextual knowledge, i.e., relations between a vehicle and other objects as, e.g., the pavement beside a vehicle and the sun causing a vehicle’s shadow projection. In contrast to most of the related work, our approach neither relies on external information like digital maps or site models, nor it is limited to very specific vehicle models. Various examples illustrate the applicability and flexibility of this approach. However, they also show the deficiencies which clearly define the next steps of our future work.
Url:
DOI: 10.1007/3-540-45404-7_7
Affiliations:
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The extraction is based on a hierarchical model that describes the prominent vehicle features on different levels of detail. Besides the object properties, the model comprises also contextual knowledge, i.e., relations between a vehicle and other objects as, e.g., the pavement beside a vehicle and the sun causing a vehicle’s shadow projection. In contrast to most of the related work, our approach neither relies on external information like digital maps or site models, nor it is limited to very specific vehicle models. Various examples illustrate the applicability and flexibility of this approach. However, they also show the deficiencies which clearly define the next steps of our future work.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Bavière</li><li>District de Haute-Bavière</li></region><settlement><li>Munich</li></settlement><orgName><li>Université technique de Munich</li></orgName></list><tree><country name="Allemagne"><region name="Bavière"><name sortKey="Hinz, Stefan" sort="Hinz, Stefan" uniqKey="Hinz S" first="Stefan" last="Hinz">Stefan Hinz</name></region><name sortKey="Baumgartner, Albert" sort="Baumgartner, Albert" uniqKey="Baumgartner A" first="Albert" last="Baumgartner">Albert Baumgartner</name><name sortKey="Baumgartner, Albert" sort="Baumgartner, Albert" uniqKey="Baumgartner A" first="Albert" last="Baumgartner">Albert Baumgartner</name><name sortKey="Hinz, Stefan" sort="Hinz, Stefan" uniqKey="Hinz S" first="Stefan" last="Hinz">Stefan Hinz</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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