Cargando…

Robust Global Motion Estimation for Video Stabilization Based on Improved K-Means Clustering and Superpixel

Obtaining accurate global motion is a crucial step for video stabilization. This paper proposes a robust and simple method to implement global motion estimation. We don’t extend the framework of 2D video stabilization but add a “plug and play” module to motion estimation based on feature points. Fir...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Rouwan, Xu, Zhiyong, Zhang, Jianlin, Zhang, Lihong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038417/ https://www.ncbi.nlm.nih.gov/pubmed/33916773 http://dx.doi.org/10.3390/s21072505

Ejemplares similares

Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering
por: Hagos, Yeman Brhane, et al.
Publicado: (2018)

Robust Superpixel Segmentation for Hyperspectral-Image Restoration
por: Fan, Ya-Ru
Publicado: (2023)

Multi Level Approach for Segmentation of Interstitial Lung Disease (ILD) Patterns Classification Based on Superpixel Processing and Fusion of K-Means Clusters: SPFKMC
por: Gupta, Anni U., et al.
Publicado: (2022)

A Model of Pixel and Superpixel Clustering for Object Detection
por: Nenashev, Vadim A., et al.
Publicado: (2022)

SMBFT: A Modified Fuzzy c-Means Algorithm for Superpixel Generation
por: Yu, Zhen, et al.
Publicado: (2021)

Sparse Adversarial Video Attacks via Superpixel-Based Jacobian Computation
por: Du, Zhenyu, et al.
Publicado: (2022)

Superpixel Segmentation Based on Grid Point Density Peak Clustering
por: Chen, Xianyi, et al.
Publicado: (2021)

Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels
por: Ye, Xujiong, et al.
Publicado: (2010)

Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification †
por: Gao, Changxin, et al.
Publicado: (2019)

Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes
por: Zhou, Felix Y, et al.
Publicado: (2019)

A survey on the utilization of Superpixel image for clustering based image segmentation
por: Sasmal, Buddhadev, et al.
Publicado: (2023)

Correction: Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes
por: Zhou, Felix Yuran, et al.
Publicado: (2019)

A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering
por: Ji, Shiyong, et al.
Publicado: (2014)

A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor
por: Auysakul, Jutamanee, et al.
Publicado: (2018)

High-Performance Motion Estimation for Image Sensors with Video Compression
por: Xu, Weizhi, et al.
Publicado: (2015)

Efficient Color Quantization Using Superpixels
por: Frackiewicz, Mariusz, et al.
Publicado: (2022)

An Efficient Hybrid Linear Clustering Superpixel Decomposition Framework for Traffic Scene Semantic Segmentation
por: Zhong, Dan, et al.
Publicado: (2023)

Superpixel-Based Feature for Aerial Image Scene Recognition
por: Li, Hongguang, et al.
Publicado: (2018)

Automatic glioma segmentation based on adaptive superpixel
por: Wu, Yaping, et al.
Publicado: (2019)

Exploiting Superpixels for Multi-Focus Image Fusion
por: Ilyas, Areeba, et al.
Publicado: (2021)

Superpixel Segmentation Based on Anisotropic Edge Strength
por: Wang, Gang, et al.
Publicado: (2019)

Foreground Detection Based on Superpixel and Semantic Segmentation
por: Feng, Junying, et al.
Publicado: (2022)

RETRACTED ARTICLE: A new firefly algorithm-based superpixel clustering method for vehicle segmentation
por: Tiwari, Twinkle, et al.
Publicado: (2022)

SLIC Superpixel-Based l(2,1)-Norm Robust Principal Component Analysis for Hyperspectral Image Classification
por: Zu, Baokai, et al.
Publicado: (2019)

Kernel Probabilistic K-Means Clustering
por: Liu, Bowen, et al.
Publicado: (2021)

A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise
por: Zhang, Wei, et al.
Publicado: (2017)

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
por: Xiong, Xiong, et al.
Publicado: (2017)

Motion estimation techniques for digital video coding
por: Metkar, Shilpa, et al.
Publicado: (2013)

An Adaptive Motion Estimation Scheme for Video Coding
por: Liu, Pengyu, et al.
Publicado: (2014)

Superpixel-Based PSO Algorithms for Color Image Quantization
por: Frackiewicz, Mariusz, et al.
Publicado: (2023)

Motion estimation for video coding: efficient algorithms and architectures
por: Chakrabarti, Indrajit, et al.
Publicado: (2015)

An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System
por: Zhu, Hong-Min, et al.
Publicado: (2014)

Superpixel-based segmentation of muscle fibers in multi-channel microscopy
por: Nguyen, Binh P., et al.
Publicado: (2016)

Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels
por: Sornapudi, Sudhir, et al.
Publicado: (2018)

Automated Detection of Red Lesions Using Superpixel Multichannel Multifeature
por: Zhou, Wei, et al.
Publicado: (2017)

Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing
por: Liu, Jiayin, et al.
Publicado: (2017)

Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment
por: Lu, Tao, et al.
Publicado: (2018)

A Novel Superpixel Approach to the Tumoral Microenvironment in Colorectal Cancer
por: Hacking, Sean M., et al.
Publicado: (2022)

Superpixel-Oriented Label Distribution Learning for Skin Lesion Segmentation
por: Zhou, Qiaoer, et al.
Publicado: (2022)

Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier
por: Kim, Hanguen, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_vlid9h7tihs24t1kca3deqmjgg