An investigation into image and video foreground segmentation and change detection

QR Code

An investigation into image and video foreground segmentation and change detection

Detecting and segmenting Spatio-temporal foreground objects from videos are significant to motion pattern modelling and video content analysis. Extensive efforts have been made in the past decades. Nevertheless, video-based saliency detection and foreground segmentation remained challenging. On the...

Full description

Bibliographic Details
Main Author:	Zhang, Chao
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2019
Subjects:	Foreground segmentation; foreground estimation; image saliency detection
Online Access:	https://eprints.nottingham.ac.uk/59159/

Similar Items

Video foreground extraction for mobile camera platforms
by: Leoputra, Wilson Suryajaya
Published: (2009)

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
by: Calatroni, Luca, et al.
Published: (2016)

Interpretability and annotation scarcity in deep medical image segmentation
by: Khalili Zadeh Mahani, Golnar
Published: (2024)

Image segmentation method for boundary detection of breast thermography using random walkers
by: Moghbel, Mehrdad
Published: (2013)

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm
by: Mu, Caihong, et al.
Published: (2017)

Learning to rank salient objects using transformers and graph reasoning
by: Bowen, Deng
Published: (2025)

Automated Fish Detection in Underwater Images Using Shape-Based level Sets
by: Ravanbakhsh, M., et al.
Published: (2015)

Neural network edge detection and skin lesions image segmentation methods: analysis and evaluation
by: Rajab, Maher I.
Published: (2003)

An Application of Shape-Based Level Sets to Fish Detection in Underwater Images
by: Ravanbakhsh, M., et al.
Published: (2014)

Self-driving cameras: automated camera capture for biological imaging
by: McGirr, Joseph
Published: (2021)

Semi-supervised Learning for Medical Image Segmentation
by: Li, Ruizhe
Published: (2023)

Development of Blood Vessel Segmentation Methods for Clinical Use
by: Bukenya, Faiza
Published: (2023)

U-Net based deep convolutional neural network models for liver segmentation from CT scan images
by: Khattab, Mahmoud Abdelazim Helmy Mahmoud
Published: (2021)

Resources in quantum imaging, detection and estimation
by: Ragy, Sammy
Published: (2015)

Motion Estimation in Flotation Froth Images Based on Edge Detection and Mutual Information
by: Amankwah, Anthony, et al.
Published: (2012)

Bernouli Forward-Backward Smoothing for Track-Before-Detect
by: Wong, S., et al.
Published: (2014)

Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking
by: Vo, Ba Tuong, et al.
Published: (2011)

Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data
by: Nurunnabi, A., et al.
Published: (2015)

A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex
by: Ullmann, J., et al.
Published: (2013)

Bayesian edge-detection in image processing
by: Stephens, David A.
Published: (1990)

Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance
by: Nguyen, V., et al.
Published: (2015)

Integrating real-time analysis with the dendritic cell algorithm through segmentation
by: Gu, Feng, et al.
Published: (2009)

On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images
by: Mairhofer, Stefan, et al.
Published: (2014)

A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
by: Leoputra, Wilson, et al.
Published: (2010)

Robust Outlier Detection and Saliency Features Estimation in Point Cloud Data
by: Nurunnabi, Abdul, et al.
Published: (2013)

Foreground segmentation-based human detection with shadow removal
by: Hafiz, Fadhlan, et al.
Published: (2010)

Segmentation, and the Indian Automobile Industry
by: Narain, Raghav
Published: (2006)

Novel methods for automatic analysis on vascular images
by: Ding, Yuchun
Published: (2016)

Virtual image sensors to track human activity in a smart house
by: Tun, Min Han
Published: (2007)

Edge detection of the optic disc in retinal images based on identification of a round shape
by: Chaichana, T., et al.
Published: (2008)

Bayesian fault detection, identification, and adaptation for GNSS applications
by: Yu, Yangkang, et al.
Published: (2024)

Grid impedance estimation for islanding detection and adaptive control of converters
by: Ghanem, A., et al.
Published: (2016)

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
by: Lowe, Amy, et al.
Published: (2017)

Ground-Image Plane Mapping for Lane marks detection
by: Lim, King Hann, et al.
Published: (2012)

Towards real-world clinical colonoscopy deep learning models for video-based bowel preparation and generalisable polyp segmentation
by: Haithami, Mahmood
Published: (2024)

A Probabilistic Approach for Foreground and Shadow Segmentation in Monocular Image Sequences
by: Wang, Y., et al.
Published: (2005)

Image processing techniques to cope color vision deficiency in detecting pork adulteration in meatballs visually
by: Hadi, Zaid, et al.
Published: (2016)

Zernike moments-local directional pattern fusion for content-based fish species image retrieval using momentgram and hue channel colour space
by: Osman, Noorul Shuhadah
Published: (2017)

A Probabilistic Method For Foreground And Shadow Segmentation
by: Wang, Y, et al.
Published: (2003)

Error Bounds for Joint Detection and Estimation of a Single Object With Random Finite Set Observation
by: Rezaeian, M., et al.
Published: (2010)