916 search results - page 6 / 184 » Multiple Object Tracking Using Local PCA |
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
ISVC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In this paper we propose a new approach for tracking multiple objects in image sequences. The proposed approach differs from existing ones in important aspects of the re...
PSIVT
2009
Springer
14 years 2 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...