In this paper a novel integrated multi-camera video-sensor (panoramic scene analysis - PSA) system is proposed for surveillance applications. In the proposed set-up, an omnidirectional imaging device is used in conjunction with a pan, tilt, zoom (PTZ) camera. In particular, the catadioptric sensor is calibrated and used in order to track and classify every single moving object within its 360-degree field of view. Classification is achieved by an innovative algorithm taking advantages from polar image and pedestrian geometrical properties. This approach greatly simplifies classification procedures and enhances target detection and locating system capabilities.

A general procedure for the understanding of a class of indoor scenes is proposed. The suggested algorithm makes use of an extensive 2-D processing of the image that provides a faithful line drawing of the viewed scene. It also uses procedures adequate for the understanding of the 3-D structure and for the recognition of several items in the scene. The approach is specific for indoor scenes, such as corridors, offices, and laboratory rooms, where long straight edges are predominant and vanishing points can be detected.>

The main goals of Computer Vision are the recovery of the three dimensional structure and the recognition of viewed objects from T.V. images. The understanding of images of indoor scenes, such as corridors and offices, is greatly simplified by the exploration of geometrical properties of the viewed scene. In these scenes there are many long straight edges which are either parallel or orthogonal and the viewed objects can be modeled as elements of Legoland. Legoland is a block world where physical edges have at most three directions, which are mutually orthogonal. In this paper a general procedure is proposed for the understanding of indoor scenes which is likely to be useful in Computer Vision. The proposed algorithm makes use of an extensive 2D image processing which is able to provide a faithful line drawing of the viewed scene. It also uses procedures adequate for both the understanding of the 3D structure of the viewed scene and for the recognition of several items in the scene.