Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Moving object segmentation (MOS), aiming at segmenting moving objects from video
frames, is an important and challenging task in computer vision and with various …

Abstract Moving Object Segmentation (MOS) is an important topic in computer vision. MOS
becomes a challenging problem in the presence of dynamic background and moving …

Understanding the scene is key for autonomously navigating vehicles, and the ability to
segment the surroundings online into moving and non-moving objects is a central ingredient …

Moving object detection has been a central topic of discussion in computer vision for its wide
range of applications like in self-driving cars, video surveillance, security, and enforcement …

Graph Signal Processing (GSP) is an emerging research field that extends the concepts of
digital signal processing to graphs. GSP has numerous applications in different areas such …

Moving object detection is the foundation of research in many computer vision fields. In
recent decades, a number of detection methods have been proposed. Relevant surveys …

Using dynamic surveillance cameras for security has significantly increased the privacy
concerns for captured individuals. Malicious users may misuse these videos by performing …

Abstract Moving Object Detection (MOD) is a fundamental step for many computer vision
applications. MOD becomes very challenging when a video sequence captured from a static …

Foreground detection (FD) plays an important role in the domain of video surveillance for
highway. The design of advanced FD algorithms requires large-scale and diverse video …