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» Detection of Multiple Deformable Objects using PCA-SIFT
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ECCV
2004
Springer
15 years 5 months ago
Hand Pose Estimation Using Hierarchical Detection
This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
CVPR
2005
IEEE
16 years 1 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
WSCG
2003
149views more  WSCG 2003»
15 years 1 months ago
Simulating Deformable Tools with Haptic Feedback in a Virtual Environment
Simulations for training and analysis incorporating haptic feedback are becoming more popular and the sophistication of these simulations is increasing. Many systems now allow a r...
Stephen D. Laycock, A. M. Day
BMVC
1998
15 years 1 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
ICIP
2010
IEEE
14 years 9 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang