An intelligent tool for the automated evaluation of pedestrian simulation

Evangelos Boukas; Luca Crociani; Sara Manzoni; Giuseppe Vizzari; Antonios Gasteratos; Georgios Ch Sirakoulis

doi:10.1007/978-3-319-07064-3_12

An intelligent tool for the automated evaluation of pedestrian simulation

Evangelos Boukas, Luca Crociani, Sara Manzoni, Giuseppe Vizzari, Antonios Gasteratos, Georgios Ch Sirakoulis

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

8 Citations (Scopus)

Abstract

One of the most cumbersome tasks in the implementation of an accurate pedestrian model is the calibration and fine tuning based on real life experimental data. Traditionally, this procedure employs the manual extraction of information about the position and locomotion of pedestrians in multiple videos. The paper in hand proposes an automated tool for the evaluation of pedestrian models. It employees state of the art techniques for the automated 3D reconstruction, pedestrian detection and data analysis. The proposed method constitutes a complete system which, given a video stream, automatically determines both the workspace and the initial state of the simulation. Moreover, the system is able to track the evolution of the movement of pedestrians. The evaluation of the quality of the pedestrian model is performed via automatic extraction of critical information from both real and simulated data.

Original language	English
Book series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8445 LNCS
Pages (from-to)	136-149
Number of pages	14
ISSN	0302-9743
DOIs	https://doi.org/10.1007/978-3-319-07064-3_12
Publication status	Published - 2014
Externally published	Yes
Event	8th Hellenic Conference on Artificial Intelligence: Methods and Applications, SETN 2014 - Ioannina, Greece Duration: 15 May 2014 → 17 May 2014

Conference

Conference	8th Hellenic Conference on Artificial Intelligence: Methods and Applications, SETN 2014
Country/Territory	Greece
City	Ioannina
Period	15/05/2014 → 17/05/2014
Sponsor	Hellenic Open University, Klidarithmos Publications, University of Ioannina

Keywords

3D reconstruction
agent based models
cellular automata
pedestrian detection
pedestrian simulation
stereo vision

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10.1007/978-3-319-07064-3_12

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Cite this

@inproceedings{a6130c3a79854f8ea77389dc0182ab29,

title = "An intelligent tool for the automated evaluation of pedestrian simulation",

abstract = "One of the most cumbersome tasks in the implementation of an accurate pedestrian model is the calibration and fine tuning based on real life experimental data. Traditionally, this procedure employs the manual extraction of information about the position and locomotion of pedestrians in multiple videos. The paper in hand proposes an automated tool for the evaluation of pedestrian models. It employees state of the art techniques for the automated 3D reconstruction, pedestrian detection and data analysis. The proposed method constitutes a complete system which, given a video stream, automatically determines both the workspace and the initial state of the simulation. Moreover, the system is able to track the evolution of the movement of pedestrians. The evaluation of the quality of the pedestrian model is performed via automatic extraction of critical information from both real and simulated data.",

keywords = "3D reconstruction, agent based models, cellular automata, pedestrian detection, pedestrian simulation, stereo vision",

author = "Evangelos Boukas and Luca Crociani and Sara Manzoni and Giuseppe Vizzari and Antonios Gasteratos and Sirakoulis, {Georgios Ch}",

year = "2014",

doi = "10.1007/978-3-319-07064-3_12",

language = "English",

volume = "8445 LNCS",

pages = "136--149",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer",

note = "8th Hellenic Conference on Artificial Intelligence: Methods and Applications, SETN 2014 ; Conference date: 15-05-2014 Through 17-05-2014",

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An intelligent tool for the automated evaluation of pedestrian simulation. / Boukas, Evangelos; Crociani, Luca; Manzoni, Sara et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8445 LNCS, 2014, p. 136-149.

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

TY - GEN

T1 - An intelligent tool for the automated evaluation of pedestrian simulation

AU - Boukas, Evangelos

AU - Crociani, Luca

AU - Manzoni, Sara

AU - Vizzari, Giuseppe

AU - Gasteratos, Antonios

AU - Sirakoulis, Georgios Ch

PY - 2014

Y1 - 2014

N2 - One of the most cumbersome tasks in the implementation of an accurate pedestrian model is the calibration and fine tuning based on real life experimental data. Traditionally, this procedure employs the manual extraction of information about the position and locomotion of pedestrians in multiple videos. The paper in hand proposes an automated tool for the evaluation of pedestrian models. It employees state of the art techniques for the automated 3D reconstruction, pedestrian detection and data analysis. The proposed method constitutes a complete system which, given a video stream, automatically determines both the workspace and the initial state of the simulation. Moreover, the system is able to track the evolution of the movement of pedestrians. The evaluation of the quality of the pedestrian model is performed via automatic extraction of critical information from both real and simulated data.

AB - One of the most cumbersome tasks in the implementation of an accurate pedestrian model is the calibration and fine tuning based on real life experimental data. Traditionally, this procedure employs the manual extraction of information about the position and locomotion of pedestrians in multiple videos. The paper in hand proposes an automated tool for the evaluation of pedestrian models. It employees state of the art techniques for the automated 3D reconstruction, pedestrian detection and data analysis. The proposed method constitutes a complete system which, given a video stream, automatically determines both the workspace and the initial state of the simulation. Moreover, the system is able to track the evolution of the movement of pedestrians. The evaluation of the quality of the pedestrian model is performed via automatic extraction of critical information from both real and simulated data.

KW - 3D reconstruction

KW - agent based models

KW - cellular automata

KW - pedestrian detection

KW - pedestrian simulation

KW - stereo vision

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DO - 10.1007/978-3-319-07064-3_12

M3 - Conference article in Journal

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SN - 0302-9743

VL - 8445 LNCS

SP - 136

EP - 149

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 8th Hellenic Conference on Artificial Intelligence: Methods and Applications, SETN 2014

Y2 - 15 May 2014 through 17 May 2014

ER -

An intelligent tool for the automated evaluation of pedestrian simulation

Abstract

Conference

Keywords

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