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ICPR
2000
IEEE
16 years 5 months ago
Unsupervised Selection and Estimation of Finite Mixture Models
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
Anil K. Jain, Mário A. T. Figueiredo
ICPR
2008
IEEE
15 years 10 months ago
Complex background modeling and motion detection based on Texture Pattern Flow
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...
Baochang Zhang, Yongsheng Gao, Bineng Zhong
ACIVS
2005
Springer
15 years 9 months ago
Dynamic Pursuit with a Bio-inspired Neural Model
Abstract. In this paper we present a bio-inspired connectionist model for visual perception of motion and its pursuit. It is organized in three stages: a causal spatio-temporal fi...
Claudio Castellanos Sánchez, Bernard Girau
BMVC
2002
15 years 6 months ago
Comparing Variations on the Active Appearance Model Algorithm
The Active Appearance Model (AAM) algorithm has proved to be a successful method for matching statistical models of appearance to new images. Since the original algorithm was desc...
Timothy F. Cootes, Panachit Kittipanya-ngam
ICPR
2010
IEEE
15 years 6 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas