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JMM2
2006
110views more  JMM2 2006»
13 years 9 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...
CVPR
2008
IEEE
14 years 11 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
ACCV
2009
Springer
14 years 3 months ago
Dense and Accurate Spatio-temporal Multi-view Stereovision
In this paper, we propose a novel method to simultaneously and accurately estimate the 3D shape and 3D motion of a dynamic scene from multiple-viewpoint calibrated videos. We follo...
Jérôme Courchay, Jean-Philippe Pons, ...
CVPR
2007
IEEE
14 years 11 months ago
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs
In this paper, we propose a novel approach for foreground layer extraction using flash/no-flash image pairs, which we call flash cut. Flash cut is based on the simple observation t...
Jian Sun, Sing Bing Kang, Zong-Ben Xu, Xiaoou Tang...
LOCA
2009
Springer
14 years 1 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele