Sciweavers

81 search results - page 3 / 17
» Evaluating Feature Importance for Object Classification in V...
Sort
View
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
14 years 10 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
ICIAP
2001
Springer
14 years 5 months ago
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
Many approaches to moving object detection for traffic monitoring and video surveillance proposed in the literature are based on background suppression methods. How to correctly a...
Rita Cucchiara, Costantino Grana, Andrea Prati, Ma...
MICCAI
2003
Springer
14 years 6 months ago
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs
A robust and automatic system has been developed to detect the visual axis and extract important feature landmarks from slit-lamp photographs, and objectively grade the severity of...
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barba...

Publication
336views
11 years 10 months ago
Feature Mining for Localised Crowd Counting
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
ICPR
2004
IEEE
14 years 6 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...