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IJCV
2008
226views more  IJCV 2008»
13 years 3 months ago
LabelMe: A Database and Web-Based Tool for Image Annotation
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and qu...
Bryan C. Russell, Antonio Torralba, Kevin P. Murph...
SAC
2010
ACM
13 years 3 months ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel
CVPR
2010
IEEE
13 years 3 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
AAAI
2006
13 years 5 months ago
Bayesian Network Based Reparameterization of Haar-like Feature
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
Hirotaka Niitsuma
VISAPP
2008
13 years 5 months ago
Towards the Estimation of Conspicuity with Visual Priors
Traffic signs are designed to be clearly seen by drivers. However a little is known about the visual influence of the traffic sign environment on how it will be perceived. Computer...
Ludovic Simon, Jean-Philippe Tarel, Roland Bremond
IWRT
2007
167views Communications» more  IWRT 2007»
13 years 5 months ago
The Practicality of Multi-Tag RFID Systems
Radio Frequency Identification (RFID) is an increasingly popular technology that uses radio signals for object identification. Successful object identification is the primary o...
Leonid Bolotnyy, Scott Krize, Gabriel Robins
NIPS
2008
13 years 5 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
ICPR
2010
IEEE
13 years 6 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
ECCV
2010
Springer
13 years 6 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
CLOR
2006
13 years 7 months ago
Components for Object Detection and Identification
We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
Bernd Heisele, Ivaylo Riskov, Christian Morgenster...