Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The...

This paper presents an overview of Intelligent Video work currently under development at the GE Global Research Center and other research institutes. The image formation process is discussed in terms of illumination, methods for automatic camera calibration and lessons learned from machine vision. A variety of approaches for person detection are presented. Crowd segmentation methods enabling th...

This chapter addresses the problem of appearance matching, while employing the covariance descriptor. We tackle the extremely challenging case in which the same non-rigid object has to be matched across disjoint camera views. Covariance statistics averaged over a Riemannian manifold are fundamental for designing appearance models invariant to camera changes. We discuss different ways of extract...

This paper addresses the problem of appearance matching across disjoint camera views. Signi cant appearance changes, caused by variations in view angle, illumination and object pose, make the problem challenging. We propose to formulate the appearance matching problem as the task of learning a model that selects the most descriptive features for a speci c class of objects. Learning is performed...

This paper introduces a new, stratiied approach for the metric self calibration of a camera with xed internal parameters. The method works by intersecting modulus-constraint manifolds, which are a speciic type of screw-transform manifold. Through the addition of a single scalar parameter, a 2-dimensional modulus-constraint mani-fold can become a 3-dimensional Kruppa-constraint manifold allowing...

We propose a principled approach to video summarization using optimal reconstruction as a metric to guide the creation of the summary output. The spatio-temporal video patches included in the summary are viewed as observations about the local motion of the original input video and are chosen to minimize the reconstruction error of the missing observations under a set of learned predictive model...

Target tracking in a multi-camera system is an active and challenging research that in many systems requires video synchronisation and knowledge of the camera set-up and layout. In this paper a highly flexible, modular and decentralised system architecture is presented for multi-camera target tracking with relaxed synchronisation constraints among camera views. Moreover, the system does not rel...

A system for the automatic reconstruction of real world objects from multiple uncalibrated camera views is presented. The camera position and orientation for all views, the 3-D shape of the rigid object as well as the associated color information are recovered from the image sequence. The system proceeds in four steps. First, the internal camera parameters describing the imaging geometry are ca...

A system for the automatic reconstruction of real-world objects from multiple uncalibrated camera views is presented. The camera position and orientation for all views, the 3-D shape of the rigid object, as well as the associated color information, are recovered from the image sequence. The system proceeds in four steps. First, the internal camera parameters describing the imaging geometry are ...