OBERTI , F.

An effective real-time post-processing algorithm for error recovery in noise corrupted JPEG bit streams integrated into an existing remote video-surveillance system is presented(1). The algorithm exploits information extracted by the video-surveillance system in order to detect corrupted frames and to recover them, enhancing the performances of...

Object recognition is a very important task in computer vision and different techniques have been presented to solve it. In this paper a Hough-type low-computational algorithm for detection of objects in cluttered scenes is presented. The approach is based on the detection of the shape of an object, modeled by means of a set of corners. An...

Performance evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. An approach based on the use of receiver operating characteristics (ROC) curves in order to evaluate the performance of a vision complex system for surveillance purposes is...

In this paper, a video-surveillance system based on a mobile-camera is presented. The proposed real-time method is able to detect an object in a video sequence from a non-static camera. In particular during an off-line phase the system creates a panoramic multi-layer background image. In the on-line phase the system compares the acquired images...

This paper proposes a video-surveillance system based on a mobile camera. In particular the developed system creates (during the off-line phase) a panoramic multilayer background image allowing one to use common change detection algorithms to search for a change detection binary image. Different approaches to get the change detection images are...