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Automatic Crowd Analysis from Airborne Images

Sirmacek, Beril und Reinartz, Peter (2011) Automatic Crowd Analysis from Airborne Images. 5th International Conference on Recent Advances in Space Technologies (RAST'2011), 2011-06-09 - 2011-06-11, Istanbul, Turkey.

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Offizielle URL: http://www.rast.org.tr

Kurzfassung

Recently automatic detection of people and crowded areas from images became a very important research field, since it can provide crucial information especially for police departments and crisis management teams. Detection of crowd and measuring the density of people can prevent possible accidents or unpleasant conditions to appear. Understanding behavioral dynamics of large people groups can also help to estimate future states of underground passages, shopping center like public entrances, or streets which can also affect the traffic. In order to bring a solution to this problem, herein we propose a novel approach using airborne images. Although their resolutions are not enough to see each person in detail, we can still notice a change of color components in the place where a person exists. Therefore, we propose a color feature detection based probabilistic framework. First, we extract local features from invariant chroma bands of the image. Extracted local features behave as observations of the probability density function (pdf) of the crowd to be estimated. Using an adaptive kernel density estimation method, we estimate the corresponding pdf. The estimated pdf gives information about crowded regions, and also helps to extract quantitative measures about them. Our experimental results show that the proposed approach can provide crucial information to police departments and crisis management teams to achieve more detailed observations of crowds to prevent possible accidents or unpleasant conditions in robust and fast manner.

elib-URL des Eintrags:https://elib.dlr.de/69318/
Dokumentart:Konferenzbeitrag (Vortrag, Paper)
Titel:Automatic Crowd Analysis from Airborne Images
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Sirmacek, BerilBeril.Sirmacek (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Reinartz, PeterPeter.Reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475NICHT SPEZIFIZIERT
Datum:Juni 2011
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenanzahl:5
Name der Reihe:RAST
Status:veröffentlicht
Stichwörter:crowd detection, airborne images, local feature, FAST features, crowd analysis, invariant color features
Veranstaltungstitel:5th International Conference on Recent Advances in Space Technologies (RAST'2011)
Veranstaltungsort:Istanbul, Turkey
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:9 Juni 2011
Veranstaltungsende:11 Juni 2011
Veranstalter :Air Force Academy, Turkey
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrsmanagement (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VM - Verkehrsmanagement
DLR - Teilgebiet (Projekt, Vorhaben):V - VABENE (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von: Sirmacek, Beril
Hinterlegt am:28 Mär 2011 13:45
Letzte Änderung:24 Apr 2024 19:34

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