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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

Recognizing Complex Human Activities via Crowd Context

verfasst von : Wongun Choi, Silvio Savarese

Erschienen in: Wide Area Surveillance

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter examines the problem of classifying collective human activities from video sequences. A collective activity is defined by the existence of the coherent behavior among individuals in a spatial and temporal neighborhood. Examples of collective activities are queuing in a line or talking. Such types of activities cannot be just defined by considering actions of individuals in isolation but rather by observing the interactions of nearby individuals in time and space. In this chapter we discuss recent methods for analyzing collective activities through the concept of crowd context. We present various solutions for modeling the crowd context and demonstrate the flexibility and scalability of the proposed framework in a number of experiments on publicly available datasets of collective human activities.

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Metadaten
Titel
Recognizing Complex Human Activities via Crowd Context
verfasst von
Wongun Choi
Silvio Savarese
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Wide Area Surveillance

Print ISBN: 978-3-642-37840-9

Electronic ISBN: 978-3-642-37841-6

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/8612_2012_4

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