IJCV
2008
13 years 12 months ago
2008
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...
SAC
2010
ACM
14 years 1 days ago
2010
ACM
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...
CVPR
2010
IEEE
14 years 1 days ago
2010
IEEE
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...
AAAI
2006
14 years 1 months ago
2006
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...
VISAPP
2008
14 years 1 months ago
2008
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...
IWRT
2007
14 years 1 months ago
2007
Radio Frequency Identification (RFID) is an increasingly popular technology that uses radio signals for object identification. Successful object identification is the primary o...
NIPS
2008
14 years 1 months ago
2008
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...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
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...
CLOR
2006
14 years 3 months ago
2006
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...