Two-dimensional image motion is the projection of the three-dimensional motion of objects,
relative to a visual sensor, onto its image plane. Sequences of time-orderedimages allow the …

Background subtraction is a crucial stage in many visual surveillance systems. The prime
objective of any such system is to detect local changes, and the system could be utilized to …

The goal of this paper is to offer a structured synopsis of the problems in image motion
computation and analysis, and of the methods proposed, exposing the underlying models …

We propose a fast and robust approach to the detection and tracking of moving objects. Our
method is based on using lines computed by a gradient-based optical flow and an edge …

Background subtraction is a crucial stage in many visual surveillance systems. The prime
objective of any such system is to detect moving objects such that the system could be …

This paper presents a new approach to the extraction of the contour of a moving object. The
method is based on the fusion of a motion segmentation technique using image subtraction …

Video privacy leakage is becoming an increasingly severe public problem, especially in
cloud-based video surveillance systems. It leads to the new need for secure cloud-based …

This paper addresses the problem of analyzing human motion in an image sequence. This
is of particular importance for video-surveillance applications. We have developed an …

In this paper, we present two very efficient and accurate algorithms for computing optical
flow. The first is a modified gradient-based regularization method, and the other is an SSD …

Performing detection on surveillance videos contributes significantly to the goals of safety
and security. However, performing detection on unprotected surveillance video may reveal …