Open AccessProceedings Article
Use of Haar-like features in vision-based human-computer interaction systems
Aleksandra Królak
- pp 139-142
TLDR
This paper presents the overview of vision-based Human-Computer interfaces employing methods based on Haar-like features and proposes a Human- computer Interaction system controlled by mouth shape change.Abstract:
In everyday life human gestures are often used to communicate or enhance speech. They can be also used to enable or improve the communication between human and machine. Among the contactless human-computer interfaces (HCI) the vision-based solutions enabling for face and hand gesture recognition are the most promising ones. Haar-like object detection algorithm developed by Viola and Jones allows for rapid detection of human faces or hands in image sequences. This paper presents the overview of vision-based Human-Computer interfaces employing methods based on Haar-like features and proposes a Human-Computer Interaction system controlled by mouth shape change.read more
Citations
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A Guidance System for Blind and Visually Impaired People via Hybrid Data Fusion
Walter C. S. S. Simoes,Luciano M. da Silva,Vandermi João da Silva,Vicente Ferreira de Lucena +3 more
TL;DR: An indoor navigation system built in a wearable device that allows visually impaired users to perform guided audio navigation safe, fast and has a low computational complexity is presented.
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Indoor Navigation Assistant for Visually Impaired by Pedestrian Dead Reckoning and Position Estimative of Correction for Patterns Recognition
TL;DR: A guided audio Indoor navigation system built in a wearable device designed to work with a hybrid mapping that allows visually impaired users to perform a guided navigation safe and fast, and has a low computational complexity.
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Interacciones basadas en gestos: revisión crítica
TL;DR: A critical review of human-computer interactions based on gestures is presented, carried out in the most critical databases in HCI, as well as some Latin-American academic sources, and included an analysis of the evolution of gesture-based interactions, current work, and future perspectives.
References
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Proceedings ArticleDOI
Rapid object detection using a boosted cascade of simple features
Paul A. Viola,Michael Jones +1 more
TL;DR: A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
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Neural network-based face detection
TL;DR: A neural network-based upright frontal face detection system that arbitrates between multiple networks to improve performance over a single network, and a straightforward procedure for aligning positive face examples for training.
Proceedings ArticleDOI
Training support vector machines: an application to face detection
TL;DR: A decomposition algorithm that guarantees global optimality, and can be used to train SVM's over very large data sets is presented, and the feasibility of the approach on a face detection problem that involves a data set of 50,000 data points is demonstrated.
Journal ArticleDOI
Feature-based human face detection
Kin Choong Yow,Roberto Cipolla +1 more
TL;DR: A feature-based algorithm for detecting faces that is sufficiently generic and is also easily extensible to cope with more demanding variations of the imaging conditions is proposed.