Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

This paper presents a survey of soccer video analysis systems for different applications:
video summarization, provision of augmented information, high-level analysis. Computer …

Shadow removal is still a challenging task due to its inherent background-dependent and
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …

Shadow removal is a computer-vision task that aims to restore the image content in shadow
regions. While almost all recent shadow-removal methods require shadow-free images for …

This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …

Recent deep learning methods have achieved promising results in image shadow removal.
However, most of the existing approaches focus on working locally within shadow and non …

Shadow removal can significantly improve the image visual quality and has many
applications in computer vision. Deep learning methods based on CNNs have become the …

Shadow detection and compensation on high-resolution orthophoto is one of the most
important tasks for ensuring the high quality of the radiometric balance of a digital …

Recent deep learning methods have achieved promising results in image shadow removal.
However, most of the existing approaches focus on working locally within shadow and non …

The current shadow removal pipeline relies on the detected shadow masks, which have
limitations for penumbras and tiny shadows, and results in an excessively long pipeline. To …