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ICRA
2006
IEEE
106views Robotics» more  ICRA 2006»
14 years 4 months ago
Real-time Object Detection using Segmented and Grayscale Images
- This paper describes an approach that performs visual object detection in real-time by combining the strength of processing the color segmented image along with that of the grays...
Juan Fasola, Manuela M. Veloso
NIPS
2004
13 years 11 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
PAMI
2007
210views more  PAMI 2007»
13 years 9 months ago
Sharing Visual Features for Multiclass and Multiview Object Detection
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CVPR
2010
IEEE
14 years 3 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
ECCV
2010
Springer
14 years 1 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...