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Research on Hand Gesture Recognition Based on Inner-Distance Contour Point Distribution Features and Histogram Matching
2014
Journal of Computers
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Aiming at the influence of joints or part structures deformations on the accuracy of gesture recognition in representing, and large amount of calculation with shape matching directly, a method based on ...
Index Terms-Hand gesture recognition, inner-distance contour point distribution features, histogram matching, deformable hand gesture ...
The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. ...
doi:10.4304/jcp.9.10.2455-2460
fatcat:lvwboswg5jdgzi4yltekgsmtui
Shape Recognition Using Combined Moment Invariants and PCA
2016
International Journal of Multimedia and Ubiquitous Engineering
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For hand recognition, we localize hands from hand candidates with improved method against our preliminary study [2] . ...
And we apply PCA on the Zernike moments to speedup of recognition without degrading the recognition accuracy. We compare the recognition performance between Hu and Zernike moments. ...
They are used for static hand gesture recognition [2] [3] [4] or for dynamic gesture [5] . ...
doi:10.14257/ijmue.2016.11.11.13
fatcat:d26exog6kjfs3grbesubpyek4i
VISION BASED MULTI-FEATURE HAND GESTURE RECOGNITION FOR INDIAN SIGN LANGUAGE MANUAL SIGNS
2016
International Journal on Smart Sensing and Intelligent Systems
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The main aim of this paper is to present multi-feature static hand gesture recognition for alphabets and numbers. ...
An ISL vocabulary show that the hand plays a significant role in ISL. ISL includes static and dynamic hand gesture recognition. ...
The present work is focused on static hand gesture so, possible signs based on static hand gestures such as, alphabets and numbers are considered for testing the proposed algorithm. ...
doi:10.21307/ijssis-2017-863
fatcat:a7kudx3qbfbu7e5tjlouuorxru
Indian Sign Language Recognition With Implementation Of Speeded Up Robust Features Algorithm
2016
Zenodo
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In This paper automatic gesture recognition is used for Indian Sign Language (ISL). In Indian sign language for representing alphabet we use both hands. ...
In this system the well-built points are removing out for recognition process using Speeded Up Robust Features algorithm of each hand posture. ...
In order to be invariant to rotation, Haar-wavelet responses in x and y direction, within radius 6s around interest point is calculated. ...
doi:10.5281/zenodo.47635
fatcat:meat6em6afasrgpkxgt4dv7b7u
Integral invariants for space motion trajectory matching and recognition
2015
Pattern Recognition
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A robust estimation of the integral invariants is formulated based on the blurred segment of noisy discrete curve. ...
Then a non-linear distance of the integral invariants is defined to measure the similarity for trajectory matching and recognition. ...
[25] and gesture recognition [19] . ...
doi:10.1016/j.patcog.2015.02.029
fatcat:ru2rhjzxzzh3hiusm4n3a6ycmy
Visual interpretation of hand gestures for human-computer interaction: a review
1997
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We also discuss implemented gestural systems as well as other potential applications of vision-based gesture recognition. ...
This discussion is organized on the basis of the method used for modeling, analyzing, and recognizing gestures. ...
The authors would like to acknowledge Yusuf Azoz and Lalitha Devi for their help with the references, and Karin Pavlovic for her help in reviewing the manuscript. ...
doi:10.1109/34.598226
fatcat:odvqyyqr7vbzjcmlak4m5j5smy
An image-based, trainable symbol recognizer for hand-drawn sketches
2005
Computers & graphics
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We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. ...
We have developed a fast technique that uses a polar coordinate representation to achieve rotational invariance. ...
[30] , in their work on point sets, use ''shape contexts'' for shape matching and recognition. ...
doi:10.1016/j.cag.2005.05.004
fatcat:aph3rnb4rvcnji7ataznmvx7hm
On Human Robot Interaction using Multiple Modes
[article]
2018
arXiv
pre-print
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There are various modes like speech, gesture, behavior etc. through which human can interact with robots. ...
To solve all these challenges, a multimodel technique has been introduced where gesture as well as speech is used as a mode of interaction. ...
Normalization of moment feature: Moment features of hand changes according to the size and shape of the gesture. ...
arXiv:1811.07206v1
fatcat:jgzpy36mdvg6xa4ltxfd5pbzou
Recognition of human actions using motion history information extracted from the compressed video
2004
Image and Vision Computing
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In this paper we describe a system for recognition of various human actions from compressed video based on motion history information. ...
The extracted features are used to train the KNN, Neural network, SVM and the Bayes classifiers for recognizing a set of seven human actions. ...
Acknowledgements The authors wish to express grateful thanks to the referees for their useful comments and suggestions to improve the presentation of this paper. ...
doi:10.1016/j.imavis.2003.11.004
fatcat:pue67dve6ra4fmyltxiw7ypae4
Point Context: An Effective Shape Descriptor for RST-Invariant Trajectory Recognition
2016
Journal of Mathematical Imaging and Vision
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2015 pre-print arXiv:1501.05432v1 fatcat:6v6cju647jcgxpl633xschtuui
Motion trajectory recognition is important for characterizing the moving property of an object. ...
Firstly a trajectory is represented by a proposed point context, which is a rotation-scale-translation (RST) invariant shape descriptor with a flexible tradeoff between computational complexity and discrimination ...
Acknowledgements This work is supported by the National Natural Science Foundation of China (61103097), the Project supported by the Specialized Research Fund for the Doctoral Program of Higher Education ...
doi:10.1007/s10851-016-0648-6
fatcat:rgpk4gbslrfa7omd6fvce4vtfq
Object Parameter Extraction for Control in Vision-Based Tabletop Systems
2008
Zenodo
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reacTIVision is an open source computer vision framework for recognition and tracking of fiducials. ...
classification, the polygon simplification can be used for user feedback and polygon recognition, and finally a simplification of the Medial Axis Transform (skeleton) is better suited for deformable objects ...
I would like to thank the rest of students at the MTG for their ideas and also Joanna Pleszek for her patience. ...
doi:10.5281/zenodo.3744722
fatcat:un35xabnz5defjs5iw2vzwbuhy
Representation, Analysis, and Recognition of 3D Humans
2018
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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based: the shape is represented by a set of landmarks (or fiducial points) with some local surface description attached to them. ...
We further classify the methods based on the main characteristics of the 3D shape they capture. ...
On the one hand, there is a lot of work done in the last two decades on hand-crafted descriptors. ...
doi:10.1145/3182179
fatcat:ds55t4md2na2tibtyg4llerf3q
Face Pose Alignment with Event Cameras
2020
Sensors
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Our method obtained 2.7% alignment failure on average, whereas annotator disagreement was 1%. ...
For this purpose, we have prepared by multiple human annotations a dataset of extreme head rotations with varying motion intensity. ...
Pose-Invariant Cascaded Regression The key factor that leads to high performance alignment with the cascaded regression framework is the pose/shape invariance integration to gradient boosting machines ...
doi:10.3390/s20247079
pmid:33321842
fatcat:6hbp7od3j5fydest2ayb2p5ncu
Vision-Based Human Detection Techniques: A Descriptive Review
2021
IEEE Access
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A threshold is applied to discard the outliers from the key points based on minimum contrast. ...
BoW is based on some steps: key-points detection, local descriptors, codebook construction (shown in Figure 7) . ...
doi:10.1109/access.2021.3063028
fatcat:bklvpd5sqraq7pb3xe7w5sueli
Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes
[article]
2017
arXiv
pre-print
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The method then creates a graph of approximated linear mapping transformations based on circular shift permutations of hierarchical abstractions. ...
Leveraging on congruence, linear mapping transformation determination between a set of shapes facilitate motion perception. ...
Segments are isometric divisions of sectors in radius (r) direction of polar coordinate system, denoted by the Euclidean unit vector V nm for m ∈ {1, 2, . . . M }. ...
arXiv:1709.00158v1
fatcat:rifradko4rfhxbesqmg6qeonly
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