A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns

scientific article (publication date: 2012)

A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2012PLoSO...753456R
P356DOI10.1371/JOURNAL.PONE.0053456
P8608Fatcat IDrelease_fwx7ejuqb5eelhjaavb2a4su4a
P3181OpenCitations bibliographic resource ID511587
P932PMC publication ID3534068
P698PubMed publication ID23300930
P5875ResearchGate publication ID234090530

P2093author name stringHeiko Neumann
Florian Raudies
P2860cites workA bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion.Q50745001
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Medial superior temporal area neurons respond to speed patterns in optic flow.Q48728172
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue12
P407language of work or nameEnglishQ1860
P304page(s)e53456
P577publication date2012-01-01
P1433published inPLOS OneQ564954
P1476titleA bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns
P478volume7