The paper discusses different approaches to image and video processing aiming to solve
the problems of detecting, tracking and estimating the parameters of moving objects. The …

Рассмотрены различные подходы к обработке изображений и видео с целью решения
задач обнаружения, слежения и оценки параметров движущихся объектов. Описаны …

The present study focuses on the development of an embedded smart camera network
dedicated to track and count people in public spaces. In the network, each node is capable …

Crowding at egress points and waiting areas in public transport environments during peak
periods can potentially impede passenger movements, causing delays to scheduled …

Deep convolutional neural networks are being increasingly deployed for image
classification tasks as they can learn sensor and environmental independence from large …

A range of situations exist in which it would be useful to influence people's behavior in public
spaces, for example to improve the efficiency of passenger flow in congested train stations …

Convolutional neural networks (CNNs), in combination with big data, are increasingly being
used to engineer robustness into visual classification systems including human detection …

A canonical genealogy of artificial intelligence must include technologies and data being
built with, for and from animals. Animal identification using forms of electronic monitoring …

This article addresses the issue of traffic congestion in urban areas specifically related to
intersection regulation. The second chapter focuses on an analysis of applicable computer …

Detecting and tracking people is a key requirement in the development of robotic
technologies intended to operate in human environments. In crowded environments such as …