Probabilistic Variational Methods for Vision based Complex Motion Analysis

نویسنده

  • Ming-Hsuan Yang
چکیده

Probabilistic Variational Methods for Vision based Complex Motion Analysis

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Gaussian Process Latent Variable Models for Dimensionality Reduction and Time Series Modeling

Time series data of high dimensions are frequently encountered in fields like robotics, computer vision, economics and motion capture. In this survey paper we look first at Gaussian Process Latent Variable Model (GPLVM) which is a probabilistic nonlinear dimensionality reduction method. Further we discuss Gaussian Process Dynamical Model (GPDMs) which are based GPLVM. GPDM is a probabilistic ap...

متن کامل

A decentralized probabilistic approach to articulated body tracking

We present a novel decentralized probabilistic approach to visual tracking of articulated objects. Analyzing articulated motion is challenging because (1) the high degrees of freedom potentially demands tremendous computation, and (2) the solution is confronted by the numerous local optima existed in a high dimensional parametric space. To ease these problems, we propose a decentralized approac...

متن کامل

Structured Variational Distributions in VIBES

Variational methods are becoming increasingly popular for the approximate solution of complex probabilistic models in machine learning, computer vision, information retrieval and many other fields. Unfortunately, for every new application it is necessary first to derive the specific forms of the variational update equations for the particular probabilistic model being used, and then to implemen...

متن کامل

Capturing Human Body Motion from Video for Perceptual Interfaces by Sequential Variational MAP

In this paper, we propose a novel sequential variational maximum a posteriori (MAP) algorithm to recover the articulated human body motion from video for perceptual interfaces. Most probabilistic methods for visual tracking adopt the mean values of the motion posteriors as the estimate. This is due to the general difficulty of the global optimization involved in the MAP estimation. However, the...

متن کامل

Sequential mean field variational analysis of structured deformable shapes

A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is high dimensional in nature, existing methods are plagued either by the inability to capture the detailed local deformation or by the enormous complexity induced by the curse of dimensionality. Taking advantage of the s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006