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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

Abstract

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
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Meynberg, Oliveroliver.meynberg (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:2017 Joint Urban Remote Sensing Event (JURSE)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2017.7924546
Page Range:pp. 1-4
Publisher:IEEE Xplore
Status:Published
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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