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Journal ArticleDOI

Object-oriented motion estimation and segmentation in image sequences

Norbert Diehl
- 01 Feb 1991 - 
- Vol. 3, Iss: 1, pp 23-56
TLDR
In this paper, a method for segmenting video scenes hierarchically into several differently moving objects and subobjects is presented, where both contour and texture information from the single images and information from successive images are used to split up a scene into various objects.
Abstract
This contribution presents a method for segmenting video scenes hierarchically into several differently moving objects and subobjects. To this end, both contour and texture information from the single images and information from successive images is used to split up a scene into various objects. Furthermore, each of these objects is characterized by a transform h ( x,T ) with a parameter vector T which implicitely describes the surface shape and the three-dimensional motion of the objects in the scene. In order to estimate T of these transforms, an efficient algorithm is introduced. Thus, we obtain an object-oriented segmentation and a prediction of the image contents from one image to the next, which can be used in low bit-rate image coding.

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Citations
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Journal ArticleDOI

Geodesic active contours and level sets for the detection and tracking of moving objects

TL;DR: A new approach named Hermes is proposed, which exploits aspects from the well-known front propagation algorithms and compares favorably to them, and very promising experimental results are provided using real video sequences.
Journal ArticleDOI

Motion estimation techniques for digital TV: a review and a new contribution

TL;DR: This paper proposes a new locally adaptive multigrid block matching motion estimation technique that leads to a robust motion field estimation precise prediction along moving edges and a decreased amount of side information in uniform areas.
Journal ArticleDOI

Statistical model-based change detection in moving video

TL;DR: This method serves three purposes: it accurately locates boundaries between changed and unchanged areas, it brings to bear a regularizing effect on these boundaries in order to smooth them, and it eliminates small regions if the original data permits this.
Journal ArticleDOI

Automatic segmentation of moving objects for video object plane generation

TL;DR: A new automatic video sequence segmentation algorithm that extracts moving objects from the sequence using an object tracker that matches a two-dimensional binary model of the object against subsequent frames using the Hausdorff distance.
Journal ArticleDOI

Seeded region growing: an extensive and comparative study

TL;DR: This work designs an automatic SRG algorithm, along with a boundary-oriented parallel pixel labeling technique and an automatic seed selection method, and a seed tracking algorithm is proposed for automatic moving object extraction.
References
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Book

The Theory of Matrices

TL;DR: In this article, the Routh-Hurwitz problem of singular pencils of matrices has been studied in the context of systems of linear differential equations with variable coefficients, and its applications to the analysis of complex matrices have been discussed.
Proceedings ArticleDOI

Determining Optical Flow

TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI

A computer algorithm for reconstructing a scene from two projections

TL;DR: A simple algorithm for computing the three-dimensional structure of a scene from a correlated pair of perspective projections is described here, when the spatial relationship between the two projections is unknown.
Journal ArticleDOI

Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces

TL;DR: In this article, it was shown that seven point correspondences are sufficient to uniquely determine from two perspective views the three-dimensional motion parameters (within a scale factor for the translations) of a rigid object with curved surfaces.
Journal ArticleDOI

Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects

TL;DR: A new approach for the interpretation of optical flow fields is presented, where the flow field is partitioned into connected segments of flow vectors, where each segment is consistent with a rigid motion of a roughly planar surface.
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