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 …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

Separation of video clips into foreground and background components is a useful and
important technique, making recognition, classification, and scene analysis more efficient. In …

This paper proposes a new background subtraction algorithm based on the sigma-delta
filter, which is intended to be used in urban traffic scenes. The original sigma-delta algorithm …

Modern 3D engines used in real-time applications provide shading that hides the lack of
higher order continuity inside the shapes using modulated normals, textures, and tone …

Object detection and tracking is an important and active research area in computer vision
community. The proposed Vehicle Tracking and Speed Measurement (VTSM) system can …

This paper proposes an efficient real-time background subtraction algorithm, which is
essential in many computer vision applications. Initially, histograms of the intensity values for …

This article introduces a new hierarchical version of a set of motion detection algorithms
called¿¿. These new algorithms are designed to preserve as much as possible the …

Advanced vehicle safety is an emerging issue appealed from the rapidly explosive
population of car owners. Posing a remarkable safety threat, road anomalies not only …

Automatic vehicle detection in urban traffic surveillance is an important and urgent issue,
since it provides necessary information for further processing. Conventional techniques …