Michele Zanin

Learn More
The paper presents a real-time vision system to compute traffic parameters by analyzing monocular image sequences coming from pole-mounted video cameras at urban crossroads. The system uses a combination of segmentation and motion information to localize and track moving objects on the road plane, utilizing a robust background updating, and a feature-based(More)
A novel algorithm, based on Kalman filtering is presented for updating the background image within video sequences. Unlike existing implementations of the Kalman filter for this task, our algorithm is able to deal with both gradual and sudden global illumination changes. The basic idea is to measure global illumination change and to use it as an external(More)
This paper presents a method for road detection and obstacle detection entirely based on stereovision. The ground plane is estimated online by least square fitting of disparity data. This operation allows deleting road features for obstacle detection, estimating directly camera roll and pitch, and deriving some clues on road-surface image regions. A(More)
This paper describes a method for the real-time measurement of vehicle queue parameters in a video-based traffic monitoring experimental system. The method proposed here is based on vehicle presence detection and movement analysis in video sequences acquired by a stationary camera. Queues are detected and characterized by a severity index. Intensive(More)
Road recognition is of fundamental importance for many image understanding tasks involving cameras mounted on moving vehicles. We consider the well-known approach to road recognition based on a clothoid road model. In the case of high curvature roads this approach shows its limitations. We propose an extended road model that covers explicitly the(More)
  • Michele Zanin
  • 14th International Conference on Image Analysis…
  • 2007
This paper introduces a vision based algorithm that detects and localizes ahead vehicles elaborating images taken by a stereo camera installed on an intelligent vehicle. The algorithm is based on the analysis of stereo images, estimating the ground plane by least square fitting of disparity data, and segmenting the obstacles by a rule based split/merge(More)
The elaboration of data collected by vehicles moving on road network is relevant for traffic management and for private service providers, which can bundle updated traffic information with navigation services. Floating data, in its extended acceptation, contains not only time and location provided by a positioning system, but also information coming from(More)
This paper presents a system to create a spatiotemporal attractiveness GIS layer for mountainous areas brought about by the implementation of novel image processing and pattern matching algorithms. We utilize the freely available Digital Terrain Model of the planet provided by NASA [1] to generate a three-dimensional synthetic model around a viewer‟s(More)
Augmented Reality (AR) aims to enhance a person’s vision of the real world with useful information about the surrounding environment. Amongst all the possible applications, AR systems can be very useful as visualization tools for structural and environmental monitoring. While the large majority of AR systems run on a laptop or on a head-mounted device, the(More)
In this paper, a technique for the integration of images and point cloud for urban areas classification is presented. A set of aerial RGB overlapping images are used as input. A photogrammetric Digital Surface Model (DSM) is firstly generated by using advanced matching techniques. Subsequently, a thematic classification of the surveyed areas is performed(More)