Crowd Behavior Analysis Using Local Mid-Level Visual Descriptors-Reference-Cited by-同舟云学术

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Crowd Behavior Analysis Using Local Mid-Level Visual Descriptors

Published:2017-03 Issue:3 Volume:27 Page:589-602
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Fradi Hajer^ORCID,Luvison Bertrand,Pham Quoc Cuong

Funder

Research Project Fluid-Tracks co-funded by French FUI-BPI France and the Conseil Général de Seine et Marne

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/7870721/07583749.pdf?arnumber=7583749

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network;Applied Sciences;2024-05-04

2. Audio–visual representation learning for anomaly events detection in crowds;Neurocomputing;2024-05

3. Video Violence Rating: A Large-Scale Public Database and A Multimodal Rating Model;IEEE Transactions on Multimedia;2024

4. Conjoined triple deep network for video anomaly detection;Multimedia Tools and Applications;2023-12-27

5. Improved Group Facial Expression Recognition Using Super-Resolved Local Facial Multi Scale Features;2023 11th International Conference on Intelligent Systems and Embedded Design (ISED);2023-12-15

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