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Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers

  • Published:2022-12 Issue:12 Volume:23 Page:24116-24125
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Pramanik Anima1ORCID,Pal Sankar Kumar2,Maiti Jhareswar1ORCID,Mitra Pabitra3

Affiliation:

1. Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

2. Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 14 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. A novel approach for long-term secure storage of domain independent videos;Journal of Visual Communication and Image Representation;2024-10

2. TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. An R–A dual network detection model for abnormal behavior of running vehicles;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-02

4. Multi Lingual Video Summarizer using Natural Language Processing;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

5. Identification of Collision Situations for Higher Efficiency of Traffic Control System;2024 Smart City Symposium Prague (SCSP);2024-05-23
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