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Results 1 - 10
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42,501
Motion segmentation in long image sequences
- in Proceedings of the 11th British Machine Vision Conference
, 2000
"... Long image sequences provide a wealth of information, which means that a compact representation is needed to efficiently process them. In this paper a novel representation for motion segmentation in long image sequences is presented. This representation – the feature interval graph – measures the pa ..."
Abstract
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Cited by 3 (0 self)
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Long image sequences provide a wealth of information, which means that a compact representation is needed to efficiently process them. In this paper a novel representation for motion segmentation in long image sequences is presented. This representation – the feature interval graph – measures
1 Motion Segmentation in Long Image Sequences
"... Analysis of long image sequence is important for visual surveillance, mobile robotics, and areas where a dynamic scene is observed over a long period of time, which means that a compact representation is needed to efficiently process it. In this report a novel representation for motion segmentation ..."
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Analysis of long image sequence is important for visual surveillance, mobile robotics, and areas where a dynamic scene is observed over a long period of time, which means that a compact representation is needed to efficiently process it. In this report a novel representation for motion segmentation
AUTOMATIC RECTIFICATION OF LONG IMAGE SEQUENCES
"... This paper addresses the problem of automatically computing homographies between successive frames in image sequences and compensating for the panning, tilting and zooming of the cameras. A homography is a projective mapping between two image planes and describes the transformation created by a fixe ..."
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This paper addresses the problem of automatically computing homographies between successive frames in image sequences and compensating for the panning, tilting and zooming of the cameras. A homography is a projective mapping between two image planes and describes the transformation created by a
Estimation of Camera Positions over Long Image Sequences
"... In this paper, we present an iterative algorithm that computes the camera path of long image sequences. It consists in applying successive bundle adjustment phases on di erent segments of the image sequence. The local models thus obtained are merged together into a common reference frame. The proced ..."
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In this paper, we present an iterative algorithm that computes the camera path of long image sequences. It consists in applying successive bundle adjustment phases on di erent segments of the image sequence. The local models thus obtained are merged together into a common reference frame
Camera Calibration of Long Image Sequences with the Presence of Occlusions
- In Proc. IEEE International Conference on Image Processing (ICIP ’03
, 2003
"... Camera calibration is a critical problem in applications such as augmented reality and image based model reconstruction. When constructing a 3D model of an object from an uncalibrated video sequence, large amounts of frames and self occlusions of parts of the object are common and difficult problems ..."
Abstract
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Cited by 7 (3 self)
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Camera calibration is a critical problem in applications such as augmented reality and image based model reconstruction. When constructing a 3D model of an object from an uncalibrated video sequence, large amounts of frames and self occlusions of parts of the object are common and difficult
Learning Structure and Deformation Modes of Nonrigid Objects in Long Image Sequences
, 1995
"... In this paper, we present an original approach for an unsupervised learning of the structure and deformation modes of 2D moving objects in long image sequences. The object representation relies on a statistical description of the deformations applied to a prototype shape. The optimal bayesian estima ..."
Abstract
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Cited by 12 (3 self)
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In this paper, we present an original approach for an unsupervised learning of the structure and deformation modes of 2D moving objects in long image sequences. The object representation relies on a statistical description of the deformations applied to a prototype shape. The optimal bayesian
An improved management model for tracking multiple features in long image sequences
- in 6th WSEAS Int. Conf. on Signal Processing, Computational Geometry Artificial Vision (ISCGAV’06
, 2006
"... Abstract:- In this paper we present a management model to deal with the problem of tracking a large number of features during long image sequences. Some usual difficulties are related to this problem: features may be temporarily occluded or might even have disappeared definitively; the computational ..."
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Cited by 1 (1 self)
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Abstract:- In this paper we present a management model to deal with the problem of tracking a large number of features during long image sequences. Some usual difficulties are related to this problem: features may be temporarily occluded or might even have disappeared definitively
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
- In ECCV
, 1992
"... . This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically significant image resgions using local constraints on intensity and motion and then finding the optimal segmentation over time u ..."
Abstract
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Cited by 44 (3 self)
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using an incremental stochastic minimization technique. The result is a robust and dynamic segmentation of the scene over a sequence of images. The approach has a number of benefits. First, discontinuities are extracted and tracked simultaneously. Second, a segmentation is always available
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
- International Journal of Computer Vision
, 1998
"... This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image r ..."
Abstract
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Cited by 656 (16 self)
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objects over long image sequences in which the objects simultaneously undergo both affine image motions and changes of view. In particular we use this "EigenTracking" technique to track and recognize the gestures of a moving hand.
Segmentation and Factorization-Based Motion and Structure Estimation for Long Image Sequences
- IEEE Trans Pattern Anal Mach Intell
, 1998
"... Abstract—This paper presents a computer algorithm which, given a dense temporal sequence of intensity images of multiple moving objects, will separate the images into regions showing distinct objects, and, for those objects which are rotating, will calculate the threedimensional structure and motion ..."
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Cited by 8 (3 self)
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Abstract—This paper presents a computer algorithm which, given a dense temporal sequence of intensity images of multiple moving objects, will separate the images into regions showing distinct objects, and, for those objects which are rotating, will calculate the threedimensional structure
Results 1 - 10
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