The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

Wide Area Motion Imagery (WAMI) enables the surveillance of tens of square kilometers with
one airborne sensor Each image can contain thousands of moving objects. Applications …

Moroccan Intelligent Transport System is the first Moroccan system that uses the latest
advances in computer vision, machine learning and deep learning techniques to manage …

Traffic monitoring is important in urban areas. Traffic sensing solutions based on static
cameras, however, do not offer a flexible, inexpensive solution for short-term traffic studies …

Persistent surveillance of large geographic areas from unmanned aerial vehicles allows us
to learn much about the daily activities in the region of interest. Nearly all of the approaches …

The number of pollinator insect is in decline in Europe and this raises concerns about the
supply of pollination services to agriculture. Thus, countries with a low number of honeybees …

Abstract This paper proposes Motion Structure Tracker (MST) to solve the problem of
tracking in very crowded structured scenes. It combines visual tracking, motion pattern …

Moving vehicle detection from wide area aerial surveillance is an important and challenging
task, which can be aided by context information. In this paper, we present a Temporal …

The SPHERE project is devoted to advancing eHealth in a smart-home context, and
supports full-scale sensing and data analysis to enable a generic healthcare service. We …

Wide area aerial surveillance data has recently proliferated and increased the demand for
multi-object tracking algorithms. However, the limited appearance information on every …