Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
This paper presents the Visor (VIdeo Surveillance Online Repository) project designed with the aim of establishing an open platform for collecting, annotating, retrieving, sharing...
Automatically understanding events happening at a site is the ultimate goal of visual surveillance system. This paper investigates the challenges faced by automated surveillance s...
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Current surveillance systems use multiple sensors and media processing techniques in order to record/detect information of interest in terms of events. Assessing the quality of in...
M. Anwar Hossain, Pradeep K. Atrey, Abdulmotaleb E...
With decreasing costs of high quality surveillance systems, human activity detection and tracking has become increasingly practical. Accordingly, automated systems have been desig...
Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jak...
In recent years, there has been an increase in video surveillance systems in public and private environments due to a heightened sense of security. The next generation of surveill...
Arvind Kandhalu, Anthony Rowe, Ragunathan Rajkumar...
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Dr. Fatih Porikli is a senior principal research scientist and project manager at Mitsubishi Electric Research Labs (MERL), Cambridge, USA. He received his PhD specializing in vide...