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IJCV
2000
161views more  IJCV 2000»
13 years 7 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 2 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ESANN
2008
13 years 9 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
13 years 5 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
14 years 29 days ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao