14 search results - page 1 / 3 » Cross-Articulation Learning for Robust Detection of Pedestri... |
DAGM
2006
Springer
13 years 8 months ago
2006
Springer
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
IBPRIA
2009
Springer
13 years 9 months ago
2009
Springer
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
ICIP
1999
IEEE
14 years 6 months ago
1999
IEEE
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily config...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
ICIP
2007
IEEE
13 years 8 months ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...