Real Time, Robust Motion Analysis of Image Sequences
Author | : Moshe Ben-Ezra |
Publisher | : |
Total Pages | : 125 |
Release | : 2000 |
Genre | : Computer vision |
ISBN | : |
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Author | : Moshe Ben-Ezra |
Publisher | : |
Total Pages | : 125 |
Release | : 2000 |
Genre | : Computer vision |
ISBN | : |
Author | : Ester Martínez-Martín |
Publisher | : Springer Science & Business Media |
Total Pages | : 117 |
Release | : 2012-07-10 |
Genre | : Computers |
ISBN | : 1447142160 |
This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.
Author | : Juyang Weng |
Publisher | : Springer Science & Business Media |
Total Pages | : 458 |
Release | : 2013-03-07 |
Genre | : Computers |
ISBN | : 3642776434 |
Motion and Structure from Image Sequences is invaluable reading for researchers, graduate students, and practicing engineers dealing with computer vision. It presents a balanced treatment of the theoretical and practical issues, including very recent results - some of which are published here for the first time. The topics covered in detail are: - image matching and optical flow computation - structure from stereo - structure from motion - motion estimation - integration of multiple views - motion modeling and prediction Aspects such as uniqueness of the solution, degeneracy conditions, error analysis, stability, optimality, and robustness are also investigated. These details together with the fact that the algorithms are accessible without necessarily studying the rest of the material, make this book particularly attractive to practitioners.
Author | : Kostas Daniilidis |
Publisher | : Springer Science & Business Media |
Total Pages | : 836 |
Release | : 2010-08-30 |
Genre | : Computers |
ISBN | : 364215560X |
The six-volume set comprising LNCS volumes 6311 until 6313 constitutes the refereed proceedings of the 11th European Conference on Computer Vision, ECCV 2010, held in Heraklion, Crete, Greece, in September 2010. The 325 revised papers presented were carefully reviewed and selected from 1174 submissions. The papers are organized in topical sections on object and scene recognition; segmentation and grouping; face, gesture, biometrics; motion and tracking; statistical models and visual learning; matching, registration, alignment; computational imaging; multi-view geometry; image features; video and event characterization; shape representation and recognition; stereo; reflectance, illumination, color; medical image analysis.
Author | : Andreas Wedel |
Publisher | : Springer Science & Business Media |
Total Pages | : 133 |
Release | : 2011-08-17 |
Genre | : Computers |
ISBN | : 0857299654 |
This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motion from stereo image sequences; analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity; introduces a framework for scene flow-based moving object detection and segmentation; includes Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary.
Author | : Yan Sun |
Publisher | : Springer Nature |
Total Pages | : 90 |
Release | : |
Genre | : |
ISBN | : 9819991919 |
Author | : M. Ibrahim Sezan |
Publisher | : Springer Science & Business Media |
Total Pages | : 499 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461532361 |
An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".
Author | : Md. Atiqur Rahman Ahad |
Publisher | : Springer Science & Business Media |
Total Pages | : 132 |
Release | : 2012-12-28 |
Genre | : Computers |
ISBN | : 1447147308 |
Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.