Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow

Joint Authors

Song, Beibei
Sheng, Rui

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-16

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

Aiming at the problem of low performance of crowd abnormal behavior detection caused by complex backgrounds and occlusions, this paper proposes a single-image crowd counting and abnormal behavior detection via multiscale GAN network.

The proposed method firstly designed an embedded GAN module with a multibranch generator and a regional discriminator to initially generate crowd-density maps; and then our proposed multiscale GAN module is added to further strengthen the generalization ability of the model, which can effectively improve the accuracy and robustness of the prediction detection and counting.

On the basis of single-image crowd counting, synthetic optical-flow feature descriptor is adopted to obtain the crowd motion trajectory, and the classification of abnormal behavior is finally implemented.

The simulation results show that the proposed algorithm can significantly improve the accuracy and robustness of crowd counting and abnormal behavior detection in real complex scenarios compared with the existing mainstream algorithms, which is suitable for engineering applications.

American Psychological Association (APA)

Song, Beibei& Sheng, Rui. 2020. Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197164

Modern Language Association (MLA)

Song, Beibei& Sheng, Rui. Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197164

American Medical Association (AMA)

Song, Beibei& Sheng, Rui. Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197164

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197164