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Cited by 330

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Estimation of number of people in crowded scenes using perspective transformation

Sheng-Fuu Lin, Jaw-Yeh Chen, Hung-Xin Chao·2001·IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans

Abstract

In the past, the estimation of crowd density has become an important topic in the field of automatic surveillance systems. In this paper, the developed system goes one step further to estimate the number of people in crowded scenes in a complex background by using a single image. Therefore, more valuable information than crowd density can be obtained. There are two major steps in this system: recognition of the head-like contour and estimation of crowd size. First, the Haar wavelet transform is used to extract the featured area of the head-like contour, and then the support vector machine is used to classify these featured area as the contour of a head or not. Next, the perspective transforming technique of computer vision is used to estimate crowd size more accurately. Finally, a model world is constructed to test this proposed system and the system is also applied for real-world images.

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Metadata

Authors
Lin, S.-F., Chen, J.-Y., & Chao, H.-X.
Venue
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
Published
2001
Volume
31
Issue
6
Pages
645-654
ISSN
1083-4427 (ISSN-L)
OpenAlex
W2151666244
Cited by
330
References
1
FWCI
0.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation of number of people in crowded scenes using perspective transformation. https://app.cochat.ai/papers/10.1109/3468.983420
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Lin, S.-F., Chen, J.-Y., & Chao, H.-X. (2001). Estimation of number of people in crowded scenes using perspective transformation. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. https://doi.org/10.1109/3468.983420

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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