Robust Incremental Optical Flow

نویسندگان

  • Michael Julian Black
  • James H. Black
چکیده

Robust Incremental Optical Flow Michael Julian Black Yale University 1992 This thesis addresses the problem of recovering 2D image velocity, or optical flow, robustly over long image sequences. We develop a robust estimation framework for improving the reliability of motion estimates and an incremental minimization framework for recovering flow estimates over time. Attempts to improve the robustness of optical flow have focused on detecting and accounting for motion discontinuities in the optical flow field. We show that motion discontinuities are one example of a more general class of model violations and that by formulating the optical flow problem as one of robust estimation the problems posed by motion discontinuities can be reduced, and the violations can be detected. Additionally, robust estimation provides a powerful framework for early vision problems that generalizes the popular “line process” approaches. We formulate a temporal continuity constraint, which reflects the fact that the motion of a surface changes gradually over time. We exploit this constraint to develop a new incremental minimization framework and show how it is related to standard recursive estimation techniques. Within this framework we implement two incremental algorithms for minimizing non-convex objective functions over time; Incremental Stochastic Minimization (ISM) and Incremental Graduated Non-Convexity (IGNC). With this approach, motion estimates are always available, they are refined over time, the algorithm adapts to scene changes, and the amount of computation between frames is kept fixed. The psychophysical implications of temporal continuity are discussed and the power of the incremental minimization framework is demonstrated by extending image feature extraction over time. Robust Incremental Optical Flow A Dissertation Presented to the Faculty of the Graduate School of Yale University in Candidacy for the Degree of Doctor of Philosophy by Michael Julian Black December 1992 c Copyright by Michael Julian Black 1993 All Rights Reserved The evening mist is the expressed patience of morning haze. James H. Black (1947–1991)

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

Computation Optical Flow Using Pipeline Architecture

Accurate estimation of motion from time-varying imagery has been a popular problem in vision studies, This information can be used in segmentation, 3D motion and shape recovery, target tracking, and other problems in scene analysis and interpretation. We have presented a dynamic image model for estimating image motion from image sequences, and have shown how the solution can be obtained from a ...

متن کامل

A Robust Multi-modal Speech Recognition Method Using Optical-flow Analysis

This paper proposes a new multi-modal speech recognition method using optical-flow analysis, evaluating its robustness to acoustic and visual noises. Optical flow is defined as the distribution of apparent velocities in the movement of brightness patterns in an image. Since the optical flow is computed without extracting speaker’s lip contours and location, robust visual features can be obtaine...

متن کامل

Geodesic active regions and level set methods for motion estimation and tracking

Motion analysis in computer vision is a well-studied problem with numerous applications. In particular, the tasks of optical flow estimation and tracking are of increasing interest. In this paper, we propose a level set approach to address both aspects of motion analysis. Our approach relies on the propagation of smooth interfaces to perform tracking while using an incremental estimation of the...

متن کامل

Incremental adaptive networks implemented by free space optical (FSO) communication

The aim of this paper is to fully analyze the effects of free space optical (FSO) communication links on the estimation performance of the adaptive incremental networks. The FSO links in this paper are described with two turbulence models namely the Log-normal and Gamma-Gamma distributions. In order to investigate the impact of these models we produced the link coefficients using these distribu...

متن کامل

Fast Simultaneous Tracking and Recognition Using Incremental Keypoint Matching

This paper presents a unified approach to object recognition and object tracking, combining local feature matching with optical flow. Like many traditional recognition algorithms, the one described here implements recognition by matching detected image patches against a database of known objects. This algorithm, however, matches keypoints incrementally, meaning that it only tests a few keypoint...

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 1992