Automatic underwater moving object detection using multi‐feature integration framework in complex backgrounds-Reference-Cited by-同舟云学术

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Automatic underwater moving object detection using multi‐feature integration framework in complex backgrounds

Published:2018-05-02 Issue:6 Volume:12 Page:770-778
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Vasamsetti Srikanth¹²,Setia Supriya³,Mittal Neerja¹²,Sardana Harish K.¹²,Babbar Geetanjali³

Affiliation:

1. Academy of Scientific and Innovative ResearchCSIR‐CSIOSector 30CChandigarh160030India

2. Computational Instrumentation, CSIR – Central Scientific Instruments Organization (CSIR‐CSIO)Chandigarh160 030India

3. Department of Computer Science & EngineeringChandigarh Engineering CollegeLandranIndia

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.2017.0013

Reference40 articles.

1. Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods

2. Pfinder: real-time tracking of the human body

3. Adaptive background mixture models for real-time tracking

4. Adaptive spatiotemporal background modelling

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4. Underwater Moving Object Detection using an End-to-End Encoder-Decoder Architecture and GraphSage with Aggregator and Refactoring;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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