An unsupervised approach for traffic motion patterns extraction-Reference-Cited by-同舟云学术

An unsupervised approach for traffic motion patterns extraction

Published:2020-12-08 Issue:2 Volume:15 Page:428-442
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Moradi Amin¹,Shahbahrami Asadollah¹^ORCID,Akoushideh Alireza²^ORCID

Affiliation:

1. Department of Computer Engineering Faculty of Engineering University of Guilan Rasht Iran

2. Shahid‐Chamran College Guilan Branch Technical and Vocational University Rasht Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12033

Reference36 articles.

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3. Understanding vehicular traffic behavior from video: a survey of unsupervised approaches

4. Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification

5. Local constraint‐based sparse manifold hypergraph learning for dimensionality reduction of hyperspectral image;Duan Y.;IEEE Trans. Geosci. Remote Sens.,2020

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