Violence recognition on videos using two-stream 3D CNN with custom spatiotemporal crop-Reference-Cited by-同舟云学术

Violence recognition on videos using two-stream 3D CNN with custom spatiotemporal crop

Published:2023-07-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Pratama Raka Aditya,Yudistira Novanto^ORCID,Bachtiar Fitra Abdurrachman

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15599-0.pdf

Reference31 articles.

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2. Bakkouri I, Afdel K (2022) MLCA2F: Multi-level context attentional feature fusion for COVID-19 lesion segmentation from CT scans. Signal, Image and Video Processing 1–8. https://doi.org/10.1007/s11760-022-02325-w

3. Kompas.com (2020) Terekam CCTV Kasari dua anak majikannya, ART ini dilaporkan ke polisi. Available via Kompas.com: https://regional.kompas.com/read/2020/03/07/06470011/terekam-cctv-kasari-dua-anak-majikannya-art-ini-dilaporkan-ke-polisi. Cited 20 Sept 2021

4. detikNews, 2020. Aksi kelompok pemuda di sukabumi lakukan pengeroyokan terekam CCTV. Available via detikNews: https://news.detik.com/berita-jawa-barat/d-5163568/aksi-kelompok-pemuda-di-sukabumi-lakukan-pengeroyokan-terekam-cctv. 20 Sept 2021

5. Hassner, Tal, Yossi Itcher, Orit K (2012) Violent flows: Real-time detection of violent crowd behavior. 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. https://doi.org/10.1109/CVPRW.2012.6239348

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