Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Performance of optical flow techniques
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Segmentation by MAP Labeling of Watershed Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Objective evaluation criteria for 2D-shape estimation results of moving objects
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Automatic Design of Morphological Operators for Motion Segmentation
SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing
Color Image Gradients for Morphological Segmentation
SIBGRAPI '00 Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing
Morphological Operators for Segmentation of Color Sequences
SIBGRAPI '00 Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing
Prontovideo: An Image Sequence Segmentation Tool Applied to Video Edition
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
The Image Foresting Transform: Theory, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Video object relevance metrics for overall segmentation quality evaluation
EURASIP Journal on Applied Signal Processing
Graph-based Object Tracking Using Structural Pattern Recognition
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
Objective evaluation of video segmentation quality
IEEE Transactions on Image Processing
Performance measures for video object segmentation and tracking
IEEE Transactions on Image Processing
Perceptually-weighted evaluation criteria for segmentation masks in video sequences
IEEE Transactions on Image Processing
Hierarchical morphological segmentation for image sequence coding
IEEE Transactions on Image Processing
Segmentation-based video coding system allowing the manipulation of objects
IEEE Transactions on Circuits and Systems for Video Technology
Semiautomatic segmentation and tracking of semantic video objects
IEEE Transactions on Circuits and Systems for Video Technology
Region-based representations of image and video: segmentation tools for multimedia services
IEEE Transactions on Circuits and Systems for Video Technology
Pattern recognition methods for thermal drift correction in Atomic Force Microscopy imaging
Pattern Recognition and Image Analysis
Spatio-temporal quasi-flat zones for morphological video segmentation
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
Computer Vision and Image Understanding
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In this paper, it is introduced an interactive method to object segmentation in image sequences, by combining classical morphological segmentation with motion estimation - the watershed from propagated markers. In this method, the objects are segmented interactively in the first frame and the mask generated by its segmentation provides the markers that will be used to track and segment the object in the next frame. Besides the interactivity, the proposed method has the following important characteristics: generality, rapid response and progressive manual edition. This paper also introduces a new benchmark to do quantitative evaluation of assisted object segmentation methods applied to image sequences. The evaluation is done according to several criteria such as the robustness of segmentation and the easiness to segment the objects through the sequence.