Directional dense‐trajectory‐based patterns for dynamic texture recognition-Reference-Cited by-同舟云学术

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Directional dense‐trajectory‐based patterns for dynamic texture recognition

Published:2020-04-15 Issue:4 Volume:14 Page:162-176
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Nguyen Thanh Tuan¹²^ORCID,Nguyen Thanh Phuong¹³,Bouchara Frédéric¹

Affiliation:

1. CNRS, LIS, Aix Marseille Université, Université de ToulonMarseilleFrance

2. Faculty of ITHCMC University of Technology and EducationHo Chi Minh CityVietnam

3. AI Lab, Faculty of Information TechnologyTon Duc Thang UniversityHo Chi Minh CityVietnam

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2019.0455

Reference65 articles.

1. Dynamic texture recognition

2. SPATIAL MOTION PATTERNS: ACTION MODELS FROM SEMI-DENSE TRAJECTORIES

3. Dense Trajectories and Motion Boundary Descriptors for Action Recognition

4. Video Extruder: a semi-dense point tracker for extracting beams of trajectories in real time

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1. STEFF: Spatio-temporal EfficientNet for dynamic texture classification in outdoor scenes;Heliyon;2024-02

2. Adequately hierarchical patterns based on pairwise regions;Multimedia Systems;2024-01-28

3. Dynamic Texture Classification Using AutoEncoder-Based Local Features and Fisher Vector Encoding;IEEE Access;2024

4. Representing dynamic textures based on polarized gradient features;Machine Vision and Applications;2023-08-28

5. Efficient bat-inspired block matching algorithm with novel motion energy directional histograms for dynamic texture fast recognition;Multimedia Tools and Applications;2023-07-29

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