Low-level segmentation of aerial images with fuzzy clustering
IEEE Transactions on Systems, Man and Cybernetics
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Three-dimensional image segmentation using a split, merge and group approach
Pattern Recognition Letters
Self-organizing maps
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Stand-alone objective segmentation quality evaluation
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A New Robust Real-Time Method for Extracting Human Silhouettes from Color Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Person Tracking in Real-World Scenarios Using Statistical Methods
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Recognition of human body motion using phase space constraints
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Feature-based cluster segmentation of image sequences
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Accurate Color Discrimination with Classification Based on Feature Distributions
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Human Tracking Using Distributed Vision Systems
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Adaptive integrated image segmentation and object recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Area Segmentation of Images Using Edge Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Objective evaluation of video segmentation quality
IEEE Transactions on Image Processing
Adaptive color segmentation-a comparison of neural and statistical methods
IEEE Transactions on Neural Networks
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In recent years many approaches to foreground extraction from images related to human movement have been presented. The foreground extraction represents a pre-processing procedure to be implemented in a system for capturing human movement in order to facilitate the tracking of anatomical landmarks on human bodies. In this work, an approach based on an unsupervised neural network has been studied: a Kohonen map has been designed to recognize and separate structures characterizing foreground and background. The proposed technique is fully automatic and its performance has been compared with those of two further approaches based on differences between foreground and background images. In order to quantify the segmentation quality, an already validated, objective, and automatic criterion has been used. The obtained results are adequate with the final aim of the application and show the feasibility of the proposed approach.