A Study on Intelligent Video Security Surveillance System with Active Tracking Technology in Multiple Objects Environment

We propose a new mechanism to resolve the object tracking problem on the video security surveillance system. Our method of location calculation is based on the Chirp Spread Spectrum (CSS) method which is considered the three-dimensional space to improve degree of accuracy of location information. The suggested new mechanism can make intelligent tracking and recording for interesting objects so that make the amount of valid video high and improve video's quality. A video security surveillance technology has been developed from the existing passive technology which simply recoding facilities and passers to intelligent technology to recognize situations in real time and respond by itself. Currently, the intelligent video security surveillance systems are largely divided into system through image analysis and system based on location recognition applied to ubiquitous sensor network technology. The location recognition technology has been so far studied and developed mainly with single interesting object for tracking human and things, mobile asset management, security and etc. Such location recognition technology provides accuracy in interior space within 2-3 meters without obstacles, but with obstacles, larger range of error is appeared, thus research for recognition of more accurate interior location has conducted. Not only that, interest in location recognition of multiple objects in environment is increased, not in environment with single object location recognition. The requirement to get valid images is very important at the video security surveillance system. This is because further video information cannot be recognized easily if the shooting range is strayed due to several fixed cameras to film with the most video security surveillance systems. Therefore, in this paper, to improve the existing intelligent video security surveillance system, we will suggest useful intelligent tracking and video recording method with higher accuracy of location recognition for moving objects in interior spaces. With the suggested the new mechanism, an improvement of video quality and an increase of valid video information are expected in multiple objects environment.