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Books > Computing & IT > Applications of computing > Image processing
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Group and Crowd Behavior for Computer Vision (Hardcover)
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Group and Crowd Behavior for Computer Vision (Hardcover)
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Group and Crowd Behavior for Computer Vision provides a
multidisciplinary perspective on how to solve the problem of group
and crowd analysis and modeling, combining insights from the social
sciences with technological ideas in computer vision and pattern
recognition. The book answers many unresolved issues in group and
crowd behavior, with Part One providing an introduction to the
problems of analyzing groups and crowds that stresses that they
should not be considered as completely diverse entities, but as an
aggregation of people. Part Two focuses on features and
representations with the aim of recognizing the presence of groups
and crowds in image and video data. It discusses low level
processing methods to individuate when and where a group or crowd
is placed in the scene, spanning from the use of people detectors
toward more ad-hoc strategies to individuate group and crowd
formations. Part Three discusses methods for analyzing the behavior
of groups and the crowd once they have been detected, showing how
to extract semantic information, predicting/tracking the movement
of a group, the formation or disaggregation of a group/crowd and
the identification of different kinds of groups/crowds depending on
their behavior. The final section focuses on identifying and
promoting datasets for group/crowd analysis and modeling,
presenting and discussing metrics for evaluating the pros and cons
of the various models and methods. This book gives computer vision
researcher techniques for segmentation and grouping, tracking and
reasoning for solving group and crowd modeling and analysis, as
well as more general problems in computer vision and machine
learning.
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