Visual Tracking Method of a Quick and Anomalously Moving Badminton Shuttlecock

This paper introduces a method that uses multiple-view videos to estimate the 3D position of a badminton shuttle that moves quickly and anomalously. When an object moves quickly, it is observed with a motion blur effect. By utilizing the information provided by the shape of the motion blur region, we propose a visual tracking method for objects that have an erratic and drastically changing moving speed. When the speed increases tremendously, we propose another method, which applies the shape-from-silhouette technique, to estimate the 3D position of a moving shuttlecock using unsynchronized multiple-view videos. We confirmed the effectiveness of our proposed technique using video sequences and a CG simulation image set

Diseño y construcción de un riel electromecánico para el estudio de la cinemática de imágenes con difuminación lineal uniforme

This paper presents the design and construction of an electromechanical slider that allows to obtain the instantaneous speed and acceleration of a platform that holds a scientific camera now of the capture of the image, for the study blurred images by uniform motion (Motion blur). The mechanical and electrical design requirements are presented based on the conditions of presentation of the phenomenon. Then, the system was calibrated with respect to a standard instrument for the estimation of uncertainties and errors. In this paper, the design, construction and calibration of an electromechanical system for the study of images with uniform motion blur is presented. The development of the system was divided into the following steps: electromechanical design for speed, speed calibration, electromechanical design for acceleration and the calibration of the acceleration. Maximum uncertainties of 0,031 / were obtained for speed and 0,029 /2 for acceleration of the system. The developed system corresponds to an electromechanical system that allows to move a cart along a pair of parallel bars, of low uncertainty with the possibility of measuring instantaneous speed and acceleration for the study of motion blurred images and teaching of motion physics.En este artículo se presenta el diseño y la construcción de un riel electromecánico que permite obtener la velocidad y aceleración instantáneas de una plataforma que soporta una cámara científica al momento de la captura de la imagen, para el estudio de las imágenes difuminadas por movimiento uniforme (Motion blur). Se presentan los requerimientos de diseño mecánico y eléctrico basados en las condiciones de presentación del fenómeno. Seguido, el sistema fue calibrado con respecto a un instrumento patrón para el cálculo de incertidumbres y error. En este artículo se presenta el diseño, construcción y calibración de un sistema electromecánico para el estudio de las imágenes con difuminación uniforme. El desarrollo del sistema se dividió en los siguientes pasos: diseño electromecánico para velocidad, calibración de la velocidad, diseño electromecánico para aceleración y calibración de la aceleración.Se obtuvieron incertidumbres máximas de 0,031 / para la velocidad y de 0,029 /2 para la aceleración del sistema. El sistema desarrollado corresponde a un sistema electromecánico que permite desplazar una plataforma con cámara a lo largo de un par de barras paralelas, de baja incertidumbre con la posibilidad de medir la velocidad y aceleración instantáneas para el estudio de imágenes reales con difuminadas por movimiento uniforme y la enseñanza de física básica

Near-invariant blur for depth and 2D motion via time-varying light field analysis

Recently, several camera designs have been proposed for either making defocus blur invariant to scene depth or making motion blur invariant to object motion. The benefit of such invariant capture is that no depth or motion estimation is required to remove the resultant spatially uniform blur. So far, the techniques have been studied separately for defocus and motion blur, and object motion has been assumed 1D (e.g., horizontal). This article explores a more general capture method that makes both defocus blur and motion blur nearly invariant to scene depth and in-plane 2D object motion. We formulate the problem as capturing a time-varying light field through a time-varying light field modulator at the lens aperture, and perform 5D (4D light field + 1D time) analysis of all the existing computational cameras for defocus/motion-only deblurring and their hybrids. This leads to a surprising conclusion that focus sweep, previously known as a depth-invariant capture method that moves the plane of focus through a range of scene depth during exposure, is near-optimal both in terms of depth and 2D motion invariance and in terms of high-frequency preservation for certain combinations of depth and motion ranges. Using our prototype camera, we demonstrate joint defocus and motion deblurring for moving scenes with depth variation

Recent Progress in Image Deblurring

This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques share the same objective of inferring a latent sharp image from one or several corresponding blurry images, while the blind deblurring techniques are also required to derive an accurate blur kernel. Considering the critical role of image restoration in modern imaging systems to provide high-quality images under complex environments such as motion, undesirable lighting conditions, and imperfect system components, image deblurring has attracted growing attention in recent years. From the viewpoint of how to handle the ill-posedness which is a crucial issue in deblurring tasks, existing methods can be grouped into five categories: Bayesian inference framework, variational methods, sparse representation-based methods, homography-based modeling, and region-based methods. In spite of achieving a certain level of development, image deblurring, especially the blind case, is limited in its success by complex application conditions which make the blur kernel hard to obtain and be spatially variant. We provide a holistic understanding and deep insight into image deblurring in this review. An analysis of the empirical evidence for representative methods, practical issues, as well as a discussion of promising future directions are also presented.Comment: 53 pages, 17 figure

高速かつ変則的に移動する物体の軌跡推定法

筑波大学 (University of Tsukuba)201