The Advanced Research and Development Activity (ARDA) is currently sponsoring an advanced research program called VACE or Video Analysis and Content Extraction. Starting this Fall, the VACE Program will embark on a second two-year R&D Phase. The focus of this phase of VACE is on moving beyond the detection, recognition and tracking of objects in video streams to the detection, recognition and u...

In recent times, capturization of video became more feasible with the advanced technologies in camera. Those videos get easily contaminated by noise due to the characteristics of image sensors. Surveillance sequences not only have static scenes but also dynamic scenes. Many efforts have been taken to reduce video noise. Averaging the frame as an image had limited denoising effect and resulted i...

Surveillance videos are becoming immensely popular nowadays due to the increasing usage of surveillance systems in various places around the world. In such applications, cameras capture and record information over long durations of time, which result in large quantities of data, necessitating specialized compression techniques. Conventional video compression algorithms are not sufficient and ef...

We present a new endoscopic system that provides two different views simultaneously, one is a wide view (120 degrees) and the other is a zoomed view with image-shift mechanism. A Porro prism (II) is used to shift the zoomed image vertically and horizontally. With this endoscope, surgeons can observe throughout the surgical field without moving or rotating the endoscope itself. We have evaluated...

Automated visual surveillance has emerged as a trendy application domain in recent years. Many approaches have been developed on video processing and understanding. Content-based access to surveillance video has become a challenging research area. The results of a considerable amount of work dealing with automated access to visual surveillance have appeared in the literature. However, the event...

Recently, interest about intelligence facility surveillance system is increasing for a facility management. In the intelligence facility surveillance system, a shadow improvement technique is very important to analyzing video information. The reason, the facility’s shadow can make video analysis difficult. Previous researches about the shadow improvement are not suitable in facility surveillanc...

In a traditional multi-camera surveillance system, it’s hard to find the routes of the suspect objects, and search for those video clips related to the suspect objects from the surveillance database. In this paper, we present a framework for spatial relationship construction, abnormal event detection and video content searching for visual surveillance applications. This system can automatically...

Cities around the world are increasingly relying upon cameras to provide visual coverage of extended spaces. Surveillance cameras are an essential component of the overall crime prevention strategy. Law enforcement agencies now heavily use imagery collected by surveillance cameras in solving crimes. Cameras installed on roadways are used to collect traffic data with the aim to better manage tra...

In a traditional multi-camera surveillance system, it’s hard to find the routes of the suspect objects, and search for those video clips related to the suspect objects from the surveillance database. In this paper, we present a framework for spatial relationship construction, abnormal event detection and video content searching for visual surveillance applications. This system can automatically...

Aim of the Visor Project [1] is to gather and make freely available a repository of surveillance and video footages for the research community on pattern recognition and multimedia retrieval. The goal is to create an open forum and a free repository to exchange, compare and discuss results of many problems in video surveillance and retrieval. Together with the videos, the repository contains me...