1Department of Electronics, Computer Science and Systems (DEIS), Faculty of Engineering, University of Bologna Viale Risorgimento 2, 40136 Bologna, Italy 2Department of Biophysical and Electronic Engineering, Faculty of Engineering, University of Genoa Via All’Opera Pia 11A, 16126 Genoa, Italy 3Department of Electrical and Computer Engineering, University of Illinois at Chicago, Room 1020 SEO (...

As security risks increase, the need to visually monitor and record events in the most remote areas becomes even greater. Moreover, the value of video surveillance has grown significantly with the advancement of high resolution megapixel video recording and video analytics. High quality megapixel H.264 video recording, combined with video analytics & intelligent sensors, bring forth the newest ...

Automated video surveillance has emerged as a trendy application domain in recent years, and accessing the semantic content of surveillance video has become a challenging research area. The results of a considerable amount of research dealing with automated access to video surveillance have appeared in the literature. However, event models and content-based access to surveillance video have sig...

A real-time moving object detection and tracking algorithm on H.264 compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large numbers of video streams on a single server and to reduce the computational complexity and memory requirements by extraction information ...

Increased network capabilities and the prevalence of wireless networks have provided an environment where data and compute intensive surveillance applications can be realized as part of existing infrastructures. Nevertheless, careful consideration must be given to how such systems are designed an implemented. In our efforts to consider pervasive surveillance applications, this paper highlights ...

In video surveillance applications, trained operators watch a number of screens simultaneously to detect potential security threats. Looking for such events in real time, in multiple videos simultaneously, is cognitively challenging for human operators. This study suggests that there is a significant need to use an automated video analysis system to aid human perception of security events in vi...

Video-based surveillance (or video surveillance) is one of the fastest growing sectors in the security market. This is due to the high amount of useful information that can be extracted from a video sequence. In particular, the automatic real-time processing of video objects, i.e., the extraction of video objects and related high-level content, is hereby of paramount importance. High-level vide...

O the last three years, the digital video surveillance market has shown an unprecedented boom. A search on the term “digital video surveillance” yielded 993,000 results on Google. The reasons for this surge range from the responses to 9/11 to the rise of IP infrastructure and the availability of highperformance, low-cost video processors. A wide range of products have appeared on the market, bu...

Video surveillance technology is playing a more and more important role in traffic detection. Vehicle’s static properties are crucial information in examining criminal and traffic violations. Image and video resources play an important role in traffic events analysis. With the rapid growth of the video surveillance devices, large number of image and video resources is increasing being created. ...

ABTRACT The research analyst the traffic video. For the first step of analysis the traffic data in Thailand, real time segmentation algorithms of moving regions in image sequences is an important step in counting systems including automated video surveillance. Background subtraction of video sequences is mainly regards as a solved problem. In this paper not only helps better understand to which...