The current work focuses on the design and implementation of an indoor surveillance application for long-term automated analysis of human activity, in a video-assisted biomedical monitoring system. Video processing is necessary to overcome noise-related problems, caused by suboptimal video capturing conditions, due to poor lighting or even complete darkness during overnight recordings. Modified...

Wireless video-surveillance networks are gaining increasing popularity due to the number of applications they make possible to carry out. In this paper, we address the problem of designing a wireless video-surveillance network so as to optimize its performance. In particular, we investigate the possible trade-offs between energy consumption and image quality. We provide simulation results showi...

In video-based surveillance people monitor a wide spatial area through video sensors for anomalous events related to safety and security. The size of the area, the number of video sensors, and the camera’s narrow field-of-view make this a challenging cognitive task. Computer vision researchers have developed a wide range of algorithms to recognize patterns in the video stream (intelligent camer...

Surveillance video recording is becoming ubiquitous in daily life for public areas such as supermarkets, banks, and airports. The rate at which surveillance video is being generated has accelerated demand for machine understanding to enable better content-based search capabilities. Analyzing human activity is one of the key tasks to understand and search surveillance videos. In this thesis, we ...

We introduce the publicly available Open Development for Video Surveillance (ODViS) system that is specifically designed to support ongoing research in tracking and video surveillance. The system provides researchers with the ability to prototype tracking and event recognition techniques, to construct and manage ground truth data sets, and to evaluate the performance of these systems within a g...

Video security is becoming more and more vital today due to rapid development of hardware equipments as the number of installed cameras can confirm. This paper presents the system architecture of IVSS, an Intelligent Video Surveillance System based on IPcameras and deployed in an academic environment. In fact, Video surveillance is increasingly found in academic institutions. It is used to over...

Start-ups offering computer vision solutions in the field of surveillance typically suffer under a short half-life while Infrastructure operators regularly complain about high false-alarm rates and other limitations of practical usage. These phenomena are obviously related to the technological difficulties on the one hand, the reasonable sized gap between ”applied research” and application on t...