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/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Speech, Poster) | ||||||||||||
Title: | Bayesian Linear Regression for Crowd Density Estimation in Aerial Images | ||||||||||||
Authors: |
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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: | 29 Mar 2023 00:30 |
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