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Graph-Based Analysis of Pedestrian Interactions and Events Using Hidden Markov Models

Burkert, Florian and Bamler, Richard (2012) Graph-Based Analysis of Pedestrian Interactions and Events Using Hidden Markov Models. Photogrammetrie, Fernerkundung, Geoinformation (6), pp. 701-710. E. Schweizerbartsche Verlagsbuchhandlung. DOI: 10.1127/1432-8364/2012/0150 ISSN 1432-8364

Full text not available from this repository.

Official URL: http://www.schweizerbart.de/papers/pfg/detail/2012/79436

Abstract

In this paper, we present an improved approach for the analysis of pedestrian interaction in crowded and cluttered scenes from aerial image sequences. Related work is limited to the detection of an undeclared abnormal event with regard to the common behaviour or to the detection of specific simple events incorporating only up to two trajectories. In our approach, event detection in pedestrian groups is done by detecting universal motion interaction patterns between pairs of pedestrians in a graph-based framework. Event detection is performed by analyzing the temporal behaviour of the motion interaction, which is represented by edges in the graph, by means of hidden Markov models (HMM). Temporarily disappearing edges in the graph can be compensated by an HMM buffer which internally continues the HMM analysis even if the corresponding pedestrians depart from each other awhile. Experimental results show the potential of our graph-based approach for event detection. The used datasets contain UAV image sequences in which an instructed pedestrian group simulates meaningful group behaviour and an aerial image sequence in which pedestrians approach a soccer stadium.

Item URL in elib:https://elib.dlr.de/82301/
Document Type:Article
Title:Graph-Based Analysis of Pedestrian Interactions and Events Using Hidden Markov Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Burkert, FlorianTUMUNSPECIFIED
Bamler, RichardRichard.Bamler (at) dlr.deUNSPECIFIED
Date:1 December 2012
Journal or Publication Title:Photogrammetrie, Fernerkundung, Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1127/1432-8364/2012/0150
Page Range:pp. 701-710
Editors:
EditorsEmail
Schweizerbart, Science PublisherUNSPECIFIED
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
Series Name:PFG Photogrammetrie, Fernerkundung, Geoinformation - Jahrgang 2012
ISSN:1432-8364
Status:Published
Keywords:event detection, pedestrian surveillance, aerial image sequences, hidden markov models, uav
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Projekt VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Haschberger, Dr.-Ing. Peter
Deposited On:08 May 2013 14:38
Last Modified:06 Sep 2019 15:29

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