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CVPR
2003
IEEE
16 years 8 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
191
Voted
CVPR
2005
IEEE
16 years 8 months ago
Semi-Supervised Learning Based Object Detection in Aerial Imagery
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
Jian Yao, Zhongfei (Mark) Zhang
ECCV
1994
Springer
16 years 8 months ago
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking
Passive sensing of human hand and limb motion is important for a wide range of applications from human-computer interaction to athletic performance measurement. High degree of free...
James M. Rehg, Takeo Kanade
ICIP
2008
IEEE
16 years 8 months ago
A lightweight multiview tracked person descriptor for camera sensor networks
We present a simple multiple view 3D model for object tracking and identification in camera networks. Our model is composed of 8 distinct views in the interval 0, 7 4 . Each of th...
Michael J. Quinn, Thomas Kuo, B. S. Manjunath
ICIP
2005
IEEE
16 years 8 months ago
Posture classification in a multi-camera indoor environment
Posture classification is a key process for analyzing the people's behaviour. Computer vision techniques can be helpful in automating this process, but cluttered environments...
Rita Cucchiara, Andrea Prati, Roberto Vezzani