Because of increasing terrorist activities, the resolution of video cameras and the number of cameras deployed for surveillance are increasing exponentially – producing huge amount of video data. Manual analysis of this large volume of video data by human operators for crime scene and forensic analysis is neither reliable nor scalable. This has generated enormous interest in research activities...

This paper presents a framework for surveillance videos of stationery places. To start with, we implement an algorithm to group incoming video stream into meaningful pieces called segments. Further we extract a feature of segment (i.e. motion) which is used to characterize the segments. Motion of a segment is extracted using two dimensional matrix which is constructed using accumulated pixel di...

BACKGROUND In-person structured observation is considered the best approach for measuring hand hygiene behavior, yet is expensive, time consuming, and may alter behavior. Video surveillance could be a useful tool for objectively monitoring hand hygiene behavior if validated against current methods. METHODS Student hand cleaning behavior was monitored with video surveillance and in-person stru...

Abstract Since the end of last century, number video surveillance cameras installed in public spaces has increasingly grown worldwide. Although installation should allegedly deter crime and improve fear perception insecurity, technology collects a vast traces all members population, regardless their criminal intentions. In academic literature, two main theoretical approaches have been formed to...

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, significant semantic gaps in event models and content-based access t...

The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed. However, a robust video surveillance algorithm is still a challenging task because of illumination changes, rapid variations in target appearance, similar nontarget objects in background, and occlusions. In th...

This paper presents a methodology for evaluating the performance of video surveillance tracking systems. We introduce a novel framework for performance evaluation using pseudo-synthetic video, which employs data captured online and stored in a surveillance database. Tracks are automatically selected from the surveillance database and then used to generate ground truthed video sequences with a c...

With the large number of surveillance cameras now in operation, both in public placesand in commercial centers, significant research efforts have been invested in attempts to automate surveillance video analysis. The goal of visual surveillance is not only to put cameras in the place of human eyes, but also to accomplish the entire surveillance task as automatically as possible. Recently, the p...

Video surveillance offers many advantages but also introduces privacy issues. We propose a video surveillance architecture that preserves privacy by providing different levels of anonymization. To this end, we model an assisted living scenario and show that our architecture can provide provable privacy under explicit assumptions while maintaining the utility of the architecture. This shows that...