Device-free localization: A review of non-RF techniques for unobtrusive indoor positioning

F Alam, N Faulkner, B Parr - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Accurate, reliable indoor localization or positioning is the key enabler for location-based
services. Indoor localization can be broadly classified into two distinct categories. Active …

An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices

PVAB de Venâncio, AC Lisboa, AV Barbosa - Neural Computing and …, 2022 - Springer
Large-scale fires have been increasingly reported in the news media. These events can
cause a variety of irreversible damage, what encourages the search for effective solutions to …

Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking

A Hampapur, L Brown, J Connell, A Ekin… - IEEE signal …, 2005 - ieeexplore.ieee.org
Situation awareness is the key to security. Awareness requires information that spans
multiple scales of space and time. Smart video surveillance systems are capable of …

Uses of video in social research: a brief history

F Erickson - International journal of social research methodology, 2011 - Taylor & Francis
This article discusses the origins of video‐based approaches to social research and their
continuation up to the present moment. It begins by considering early studies employing …

A traffic surveillance system for obtaining comprehensive information of the passing vehicles based on instance segmentation

B Zhang, J Zhang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The vehicle information acquired by current video-based traffic surveillance methods is
usually onefold. In this paper, a traffic surveillance system for obtaining comprehensive …

Coverage optimization to support security monitoring

AT Murray, K Kim, JW Davis, R Machiraju… - … , Environment and Urban …, 2007 - Elsevier
The placement of sensors to support security monitoring is obviously critical as it will directly
impact the efficacy of allocated resources and system performance. It is critical to be able to …

IBM smart surveillance system (S3): event based video surveillance system with an open and extensible framework

Y Tian, L Brown, A Hampapur, M Lu, A Senior… - Machine Vision and …, 2008 - Springer
The increasing need for sophisticated surveillance systems and the move to a digital
infrastructure has transformed surveillance into a large scale data analysis and …

Practical automated video analytics for crowd monitoring and counting

KH Cheong, S Poeschmann, JW Lai, JM Koh… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance is gaining popularity in numerous applications, including facility
management, traffic monitoring, crowd analysis, and urban security. Despite the increasing …

Distributed intelligence for multi-camera visual surveillance

P Remagnino, AI Shihab, GA Jones - Pattern recognition, 2004 - Elsevier
Latest advances in hardware technology and state of the art of computer vision and artificial
intelligence research can be employed to develop autonomous and distributed monitoring …

Enabling context-aware and privacy-conscious user data sharing

R Hull, B Kumar, D Lieuwen… - … on Mobile Data …, 2004 - ieeexplore.ieee.org
This paper provides detail on two key components of the Houdini framework under
development at Bell Labs, that enable context-aware and privacy-conscious user data …