Intelligent video tracking technology is the digital video processing and analysis of an important field of application in the civilian and military defense have a wide range of applications. In this paper, a systematic study on the surveillance video of the Smart in the agricultural tracking, particularly in target detection and tracking problem of the study, respectively for the static backgr...

Video surveillance automation is used in two key modes: watching for known threats in real-time and searching for events of interest after the fact. Typically, real-time alerting is a localized function, for example, an airport security center receives and reacts to a “perimeter breach alert,” while investigations often tend to encompass a large number of geographically distributed cameras like...

Everyday an enormous amount of video is captured by surveillance system for various purposes around the whole world. However, this is almost impossible for human to analyze the vast majority of video data. In this paper, a video summarization method is introduced combining foreground object, motion, and visual attention cue. Foreground objects typically provide important information about video...

Video surveillance automation is used in two key modes: watching for known threats in real-time and searching for events of interest after the fact. Typically, real-time alerting is a localized function, e.g. an airport security center receives and reacts to a “perimeter breach alert,” while investigations often tend to encompass a large number of geographically distributed cameras like the Lon...

Surveillance videos contain a considerable amount of data, wherein interesting information to the user is sparsely distributed. Researchers construct video synopsis that contain key information extracted from a surveillance video for efficient browsing and analysis. Geospatial–temporal information of a surveillance video plays an important role in the efficient description of video content. Mea...

The amount of Video Surveillance Systems around the world is continuously increasing, however, the usage of these systems in not the only choice how to solve security problem in many cases. The camera placement within the observed area is one of the most relevant problems within the new Video Surveillance System design. Some potential to automate the camera placement within the particular area ...

The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU) has developed an end-to-end, multicamera surveillance system that allows a single human operator to monitor activities in a cluttered environment using a distributed network of active video sensors. Video understanding algorithms have been developed to automatically detect people and vehicles, seamlessly track...

A high-resolution video surveillance management system incurs huge amounts of storage and network bandwidth. The current infrastructure required to support a high-resolution video surveillance management system (VMS) is expensive and time consuming to plan, implement and maintain. With the recent advances in cloud technologies, opportunity for the utilization of virtualization and the opportuni...

We propose a layered security concept for the protection of buildings’ air-intakes from chemical and biological attacks. The concept is focused on prevention, early warning, and effective evacuation. One of the pillars of our concept is the inclusion of a video-based surveillance subsystem that improves the early warning capability of the protection system. Our video-based surveillance subsyste...

Video surveillance is used in monitoring the road traffic. However because the surveillance system is limited by many objective factors. Surveillance video may not be seen clearly. Especially under the weak light conditions, the picture quality of the night video is very poor. In this paper, we propose an enhancement method of nighttime images for surveillance camera. We apply the moving target...