Proceedings Article10.1109/GMAI.2006.48
Visual Hand Tracking Algorithms
Fariborz Mahmoudi,Mehdi Parviz +1 more
- 05 Jul 2006
- pp 228-232
43
TL;DR: Most widely used methods and techniques for segmentation, tracking, modeling and recognition are reviewed and their numerical evaluation results are collected.
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Abstract: Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published [31,32]. However, a comprehensive survey on tracking is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results.
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Citations
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Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey
TL;DR: In this paper, the authors discuss work done in the area of hand gesture recognition where focus is on the intelligent approaches including soft computing based methods like artificial neural network, fuzzy logic, genetic algorithms etc.
141
Sign language recognition: state of the art
Ashok Kumar Sahoo,Gouri Sankar Mishra,Kiran Kumar Ravulakollu +2 more
- 01 Jan 2014
TL;DR: The sign language recognition steps, the data acquisition, data preprocessing and transformation, feature extraction, classification and results obtained are examined and future directions for research in this area are suggested.
79
A Survey on Hand Gesture Recognition in Context of Soft Computing
Ankit Chaudhary,Jagdish Lal Raheja,Karen Das,Sonia Raheja +3 more
- 02 Jan 2011
TL;DR: This paper is discussing work done in the area of hand gesture recognition where focus is on the soft computing based methods like artificial neural network, fuzzy logic, genetic algorithms, etc and comparing results given by different researchers after their implementation.
72
•Dissertation
Sensor-Based Feedback for Piano Pedagogy
Aristotelis Hadjakos
- 11 Nov 2011
TL;DR: The proposed methods to distinguish between primary and secondary movements can be used to improve current gesture recognition methods by ignoring secondary movement in the sensor signal to avoid that a secondary movement is misinterpreted as an execution of a gesture.
35
Visual Mouse: SIFT Detection and PCA Recognition
Hailing Zhou,Lijun Xie,Xuliang Fang +2 more
- 15 Dec 2007
TL;DR: The Visual Mouse (VM) is presented, a novel and simple system for interaction with displays via hand gestures that provides a fast and simple interaction experience without the need for more expensive hardware and software.
26
References
•Book
Introduction to Statistical Pattern Recognition
Keinosuke Fukunaga
- 01 Jan 1972
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
12.1K
Color indexing
Michael J. Swain,Dana H. Ballard +1 more
TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
6.1K
C ONDENSATION —Conditional Density Propagation forVisual Tracking
Michael Isard,Andrew Blake +1 more
TL;DR: The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set.
Real-time American sign language recognition using desk and wearable computer based video
TL;DR: Two real-time hidden Markov model-based systems for recognizing sentence-level continuous American sign language (ASL) using a single camera to track the user's unadorned hands are presented.
A Survey on Pixel-Based Skin Color Detection Techniques
Vladimir Vezhnevets,Vassili Sazonov,Alla Andreeva +2 more
- 01 Jan 2003
TL;DR: Most widely used methods and techniques for skin color modelling and recognition are reviewed and their numerical evaluation results are collected.
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