In the present scenario everyone turned into smart applications by including the intelligence
into the applications and this reduces the burden of frequent interruption or control by the …

The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …

During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …

This paper tackles the problem of people re-identification by using soft biometrics features.
The method works on RGB-D data (color point clouds) to determine the best matching …

In this paper, we propose a new approach for anomaly detection in video surveillance. This
approach is based on a nonparametric Bayesian regression model built upon Gaussian …

In recent years, the spread of video sensor networks both in public and private areas has
grown considerably. Smart algorithms for video semantic content understanding are …

The development of “smart stadia”, ie the use of “smart technologies” in the way sports
stadia are designed and managed, promises to enhance the experience of attending a live …

Cultural relics represent national or even global resources of inestimable value. How to
efficiently manage and preserve these cultural relics is a vitally important issue. To achieve …

The work presented in this Ph. D. thesis focuses on developing a large-scale distributed
video surveillance system for tracking suspicious moving objects and analysing their …

Fire detection technology aroused people's attention increasingly. The main challenge of the
fire detection systems is how to reduce false alarms caused by objects like fire's colors. Most …