Motion-shape-based deep learning approach for divergence behavior detection in high-density crowd
We propose a novel method of abnormal crowd behavior detection in surveillance videos. Mainly, our work focuses on detecting crowd divergence behavior that can lead to serious disasters like a stampede. We introduce a notion of physically capturing motion in the form of images and classify crowd beh...
| Main Authors: | Farooq, M.U., Saad, M.N.M., Khan, S.D. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33132 / |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101784657&doi=10.1007%2fs00371-021-02088-4&partnerID=40&md5=fba320c5864e7d239105a8037d70e2f9 http://eprints.utp.edu.my/33132/ |
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