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Displaying 1-17 out of 17 total
Investigation on Electrical Output Combination Options in a Piezoelectric Multifrequency Converter Array for Energy Harvesting in Autonomous Sensors
Found in: Sensor Device Technologies and Applications, International Conference on
By Marco Ferrari, Vittorio Ferrari, Michele Guizzetti, Daniele Marioli
Issue Date:July 2010
pp. 258-263
A piezoelectric multifrequency converter array intended for energy harvesting from broadband vibrations to power autonomous sensors and two different configurations of multi-input rectifier circuits are presented. The converter array is composed of multipl...
 
Fast Object Segmentation in Unconstrained Video
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Anestis Papazoglou,Vittorio Ferrari
Issue Date:December 2013
pp. 1777-1784
We present a technique for separating foreground objects from the background in a video. Our method is fast, fully automatic, and makes minimal assumptions about the video. This enables handling essentially unconstrained settings, including rapidly moving ...
 
Weakly supervised semantic segmentation with a multi-image model
Found in: Computer Vision, IEEE International Conference on
By Alexander Vezhnevets,Vittorio Ferrari,Joachim M. Buhmann
Issue Date:November 2011
pp. 643-650
We propose a novel method for weakly supervised semantic segmentation. Training images are labeled only by the classes they contain, not by their location in the image. On test images instead, the method predicts a class label for every pixel. Our main inn...
 
A Microfluidic Device with Embedded Capacitive Sensor for Fluid Discrimination and Characterization
Found in: Sensor Device Technologies and Applications, International Conference on
By Marco Demori, Vittorio Ferrari, Pietro Poesio, Domenico Strazza
Issue Date:July 2010
pp. 253-257
This paper describes the development of a microfluidic device with embedded capacitive sensing that allows the discrimination of fluids on the basis of the dielectric permittivity. The device is fabricated in a hybrid technology, which innovatively combine...
 
Global and efficient self-similarity for object classification and detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Thomas Deselaers, Vittorio Ferrari
Issue Date:June 2010
pp. 1633-1640
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In this paper we explore global self-similarity (GSS) and its advantages over l...
 
What's going on? Discovering spatio-temporal dependencies in dynamic scenes
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Daniel Kuettel, Michael D. Breitenstein, Luc Van Gool, Vittorio Ferrari
Issue Date:June 2010
pp. 1951-1958
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the right of way between different lanes or typical traffic light sequences. To extr...
 
What is an object?
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari
Issue Date:June 2010
pp. 73-80
We present a generic objectness measure, quantifying how likely it is for an image window to contain an object of any class. We explicitly train it to distinguish objects with a well-defined boundary in space, such as cows and telephones, from amorphous ba...
 
Progressive search space reduction for human pose estimation
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vittorio Ferrari, Manuel Marin-Jimenez, Andrew Zisserman
Issue Date:June 2008
pp. 1-8
The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging.
 
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
Found in: Computer Vision, IEEE International Conference on
By Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool
Issue Date:October 2007
pp. 1-8
Thanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed back their output to other processes. This is what we refer to as cognitive ...
 
Efficient Mining of Frequent and Distinctive Feature Configurations
Found in: Computer Vision, IEEE International Conference on
By Till Quack, Vittorio Ferrari, Bastian Leibe, Luc Van Gool
Issue Date:October 2007
pp. 1-8
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background. The approach is based on computationally efficient data mining techniques an...
 
Accurate Object Detection with Deformable Shape Models Learnt from Images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vittorio Ferrari, Frederic Jurie, Cordelia Schmid
Issue Date:June 2007
pp. 1-8
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models directly from images, and localize novel instances in the presence of intra-class...
 
Wide-Baseline Stereo Matching with Line Segments
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Herbert Bay, Vittorio Ferrari, Luc Van Gool
Issue Date:June 2005
pp. 329-336
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invariant regions. Those methods work well with highly textured scenes, but fail wit...
 
Integrating Multiple Model Views for Object Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool
Issue Date:July 2004
pp. 105-112
<p>We present a new approach to appearance-based object recognition, which captures the relationships between multiple model views and exploits them to improve recognition performance.</p> <p>The basic building block are local, viewpoint ...
 
Wide-baseline Multiple-view Correspondences
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool
Issue Date:June 2003
pp. 718
We present a novel approach for establishing multiple-view feature correspondences along an unordered set of images taken from substantially different viewpoints. While recently several wide-baseline stereo (WBS) algorithms have appeared, the N-view case i...
 
Real-time affine region tracking and coplanar grouping
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool
Issue Date:December 2001
pp. 226
We present a novel approach for tracking locally planar regions in an image sequence and their grouping into larger planar surfaces. The tracker recovers the affine transformation of the region and therefore yields reliable point correspondences between fr...
 
Fast Energy Minimization Using Learned State Filters
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Matthieu Guillaumin,Luc Van Gool,Vittorio Ferrari
Issue Date:June 2013
pp. 1682-1689
Pairwise discrete energies defined over graphs are ubiquitous in computer vision. Many algorithms have been proposed to minimize such energies, often concentrating on sparse graph topologies or specialized classes of pairwise potentials. However, when the ...
 
Wireless noncontact temperature measurement system powered by intentional human action
Found in: Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems (ENSSys '13)
By Davide Alghisi, Marco Ferrari, Vittorio Ferrari
Issue Date:November 2013
pp. 1-2
In this paper, a wireless temperature measurement system powered by energy harvesting from human motion is presented. The user force exerted on the hand-crank ElectroMagnetic (EM) device is converted into electricity. The electrical energy is stored into m...
     
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