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Author Ge, Weina
Title Bayesian analysis of small groups in crowds / by Weina Ge
Imprint 2010
LOCATION CALL # STATUS OPACMSG BARCODE
 人文社會聯圖  AC801 .G42 2010    AVAILABLE    30610020355699
Descript 108 p. : col. ill.
Note "August 2010"
"UMI Number: 3436141"--T.p. verso
Thesis advisor: Robert T. Collins
Thesis (Ph.D.)--Pennsylvania State University, 2010
Includes bibliographical references (p. [99]-108)
Crowd analysis is of increasing interest. Sociologists, for example, are interested instudying social influence within and between small groups of individuals travelingin a crowd. However, current empirical studies conducted by human observersare very time-consuming. We propose an automatic, vision-based system that de-tects and tracks all individuals in video of crowds of varying nature and densitywhile discovering small social groups. Individual components of the system tacklecomputer vision problems that are challenging in their own right, namely, 1) toreliably detect individual people under reasonable crowd density and from differ-ent viewpoints, 2) to robustly track individuals through crowds where inter-personocclusion is frequent, and 3) to infer at a distance which small groups of people areinteracting or traveling together. Results from our automated crowd analysis sys-tem reveal interesting pedestrian group walking patterns that complement currentresearch in crowd dynamics. These discoveries also may provide helpful insightsfor evacuation planning and for real-time situation awareness during emergencyresponse to public disturbances
Photocopy. Ann Arbor, Mich. : University Microfilms International, 2010. 23 cm
Subject Pennsylvania State University -- Dissertations
Alt Author Collins, Robert
University Microfilms International
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