Event-based vision: A survey

G Gallego, T Delbrück, G Orchard… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms

HM Dee, SA Velastin - Machine Vision and Applications, 2008 - Springer
The problem of automated visual surveillance has spawned a lively research area, with
2005 seeing three conferences or workshops and special issues of two major journals …

[图书][B] Recognition of humans and their activities using video

The recognition of humans and their activities from video sequences is currently a very
active area of research because of its applications in video surveillance, design of realistic …

Automatic video-based human motion analyzer for consumer surveillance system

W Lao, J Han, PH De With - IEEE Transactions on Consumer …, 2009 - ieeexplore.ieee.org
With the continuous improvements in video-analysis techniques, automatic low-cost video
surveillance gradually emerges for consumer applications. Video surveillance can …

A survey on behavior analysis in video surveillance for homeland security applications

T Ko - 2008 37th IEEE Applied Imagery Pattern Recognition …, 2008 - ieeexplore.ieee.org
Surveillance cameras are inexpensive and everywhere these days but the manpower
required to monitor and analyze them is expensive. Consequently the videos from these …

A survey of automatic event detection in multi-camera third generation surveillance systems

T D'Orazio, C Guaragnella - International Journal of Pattern …, 2015 - World Scientific
Third generation surveillance systems are largely requested for intelligent surveillance of
different scenarios such as public areas, urban traffic control, smart homes and so on. They …

Object detection and tracking

F Porikli, A Yilmaz - Video Analytics for Business Intelligence, 2012 - Springer
Detecting and tracking objects are among the most prevalent and challenging tasks that a
surveillance system has to accomplish in order to determine meaningful events and …

Multi-stage video analysis framework

A Czyżewski, G Szwoch, P Dalka, P Szczuko… - Video …, 2011 - books.google.com
Video monitoring systems are a necessity in the modern times. Although some people object
the idea of 'being watched', surveillance systems actually improve the level of public …

Diamond sentry: Integrating sensors and cameras for real-time monitoring of indoor spaces

P Turaga, YA Ivanov - IEEE Sensors Journal, 2010 - ieeexplore.ieee.org
Video-based surveillance and monitoring of indoor spaces such as offices, airports and
convenience stores has attracted increasing interest in recent years. While video proves …

A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision

N Manakitsa, GS Maraslidis, L Moysis, GF Fragulis - Technologies, 2024 - mdpi.com
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …