Video object segmentation and tracking: A survey

R Yao, G Lin, S Xia, J Zhao, Y Zhou - ACM Transactions on Intelligent …, 2020 - dl.acm.org
Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset

T Bouwmans, A Sobral, S Javed, SK Jung… - Computer Science …, 2017 - Elsevier
Background/foreground separation is the first step in video surveillance system to detect
moving objects. Recent research on problem formulations based on decomposition into low …

Review of visual saliency detection with comprehensive information

R Cong, J Lei, H Fu, MM Cheng, W Lin… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …

Saliency-aware geodesic video object segmentation

W Wang, J Shen, F Porikli - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
We introduce an unsupervised, geodesic distance based, salient video object segmentation
method. Unlike traditional methods, our method incorporates saliency as prior for object via …

Learning unsupervised video object segmentation through visual attention

W Wang, H Song, S Zhao, J Shen… - Proceedings of the …, 2019 - openaccess.thecvf.com
This paper conducts a systematic study on the role of visual attention in Unsupervised Video
Object Segmentation (UVOS) tasks. By elaborately annotating three popular video …

Fast and accurate online video object segmentation via tracking parts

J Cheng, YH Tsai, WC Hung… - Proceedings of the …, 2018 - openaccess.thecvf.com
Online video object segmentation is a challenging task as it entails to process the image
sequence timely and accurately. To segment a target object through the video, numerous …

On the applications of robust PCA in image and video processing

T Bouwmans, S Javed, H Zhang, Z Lin… - Proceedings of the …, 2018 - ieeexplore.ieee.org
Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image …

Zero-shot video object segmentation with co-attention siamese networks

X Lu, W Wang, J Shen, D Crandall… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
We introduce a novel network, called CO-attention siamese network (COSNet), to address
the zero-shot video object segmentation task in a holistic fashion. We exploit the inherent …

Scribble-supervised video object segmentation

P Huang, J Han, N Liu, J Ren… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Recently, video object segmentation has received great attention in the computer vision
community. Most of the existing methods heavily rely on the pixel-wise human annotations …

Learning motion-appearance co-attention for zero-shot video object segmentation

S Yang, L Zhang, J Qi, H Lu… - Proceedings of the …, 2021 - openaccess.thecvf.com
How to make the appearance and motion information interact effectively to accommodate
complex scenarios is a fundamental issue in flow-based zero-shot video object …