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Homepage CVPR
2010
IEEE
14 years 29 days ago
2010
IEEE
Human identity recognition is an important yet underaddressed
problem. Previous methods were strictly limited
to high quality photographs, where the principal techniques
heavily...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. However, to our best knowledge no p...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Significant research has been devoted to detecting people
in images and videos. In this paper we describe a human detection
method that augments widely used edge-based features
...
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922
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Dr. Fatih Porikli is a senior principal research scientist and project manager at Mitsubishi Electric Research Labs (MERL), Cambridge, USA. He received his PhD specializing in vide...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, a novel feature named Adaptive Contour
Feature (ACF) is proposed for human detection and segmentation.
This feature consists of a chain of a number of
granules in...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper proposes a novel descriptor, granularitytunable
gradients partition (GGP), for human detection.
The concept granularity is used to define the spatial and angular
unce...