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Bayesian Linear Regression for Crowd Density Estimation in Aerial Images

Cui, Shiyong and Meynberg, Oliver and Reinartz, Peter (2017) Bayesian Linear Regression for Crowd Density Estimation in Aerial Images. In: 2017 Joint Urban Remote Sensing Event (JURSE), pp. 1-4. IEEE Xplore. JURSE 2017, 6 - 8 March 2017, Dubai, UAE. doi: 10.1109/JURSE.2017.7924546.

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7924546


In this paper, we propose a Bayesian linear regression method for person density estimation in extremely crowded areas in aerial images. The fundamental idea is to learn a mapping function from local features to crowd density. In order to describe the appearances of persons within a crowd in aerial images, local texture features are computed for each small local neighborhood. Then we cast the problem as a linear regression. In order to model the nonlinearity between local features and crowd density, Gaussian basis functions are used and their locations are determined by a $k$-means clustering. Crowd density can be estimated by Bayesian inference. However, due to the presence of a hyper-prior distribution, variational inference is applied to compute the predictive distribution. Through experiments, the effectiveness of the proposed method for crowd density estimation is demonstrated.

Item URL in elib:https://elib.dlr.de/108363/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Bayesian Linear Regression for Crowd Density Estimation in Aerial Images
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Meynberg, Oliveroliver.meynberg (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Journal or Publication Title:2017 Joint Urban Remote Sensing Event (JURSE)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2017.7924546
Page Range:pp. 1-4
Publisher:IEEE Xplore
Keywords:Crowde density estimation, Bayesian regression, variational inference
Event Title:JURSE 2017
Event Location:Dubai, UAE
Event Type:international Conference
Event Dates:6 - 8 March 2017
Organizer:Masdar Institute of Science and Technology, UAE
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 - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cui, Shiyong
Deposited On:25 Nov 2016 11:26
Last Modified:24 Jan 2018 12:01

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