Boxplots for the maximising function of pattern matching technique.

<p>(a) Boxplots for and , where is the maximising function of pattern matching procedure of whole-crowd analysis and is the same with separate group-analysis. and are the maximum possible values of the maximising functions in these two cases, which are 2 and 1 respectively. (b) Boxplots for th...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Pratik Mullick (12851011) (author)
مؤلفون آخرون:	Sylvain Fontaine (12851014) (author), Cécile Appert-Rolland (178393) (author), Anne-Hélène Olivier (6031328) (author), William H. Warren (11638624) (author), Julien Pettré (178388) (author)
منشور في:	2022
الموضوعات:	Biophysics Cell Biology Sociology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified findings thus support commonly observed moving 90 °, diagonal 180 °, alternating measure local properties local pedestrian interactions estimate global properties invariant remain unclear div >< p analyzing striped patterns 180 °, whereas stripe &# 8217 two groups cross crossing angle increases two groups properties depend pedestrians cross pedestrian data geometric properties emergent patterns &# 8216 two streams stripe spacing small groups stripes increases wide range theoretical reasons striped pattern seven angles pedestrians reveals opposite directions matching technique invariant property gabor function dynamically squeezed cutting algorithm crossing flows crossing angles crossing angle computational models clear case also observe allows us 30 ° 19 participants
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Boxplots for the maximising function of pattern matching technique.

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