Ansichtenbasierte Erkennung von Fahrzeugen

Michaelsen, Eckart; Stilla, Uwe

doi:10.1007/978-3-642-59802-9_31

Cited by 2 publications

(2 citation statements)

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“…In this contribution we demonstrated the inclusion of probabilistic calculations into a structural method. Compared to previous experiments [8] the discriminative power of the accumulator on cluttered regions, e.g. in the left part of the image, has much improved due to a better parameter setting.…”

Section: Discussionmentioning

confidence: 74%

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Probabilistic Decisions in Production Net An Example from Vehicle Recognition

Michaelsen¹,

Stilla²

2002

Lecture Notes in Computer Science

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A structural knowledge-based vehicle recognition method is modified yielding a new probabilistic foundation for the decisions. The method uses a pre-calculated set of hidden line projected views of articulated polyhedral models of the vehicles. Model view structures are set into correspondence with structures composed from edge lines in the image. The correspondence space is searched utilizing a 4D Houghtype accumulator. Probabilistic models of the background and the error in the measurements of the image structures lead to likelihood estimations that are used for the decision. The likelihood is propagated along the structure of the articulated model. The system is tested on a cluttered outdoor scene. To ensure anytime performance the recognition process is implemented in a data-driven production system.

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Section: Discussionmentioning

confidence: 74%

“…This may be treated by aspect graphs [4], or by linear combination of characteristic views [11]. We use an equidistantly sampled set of views for each model [8]. In this contribution we incorporate probabilistic calculations into a structural approach.…”

Section: Introductionmentioning

confidence: 99%