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Research on Hand Gesture Recognition Based on Inner-Distance Contour Point Distribution Features and Histogram Matching

Qiu-yu Zhang, Hui-yi Wei, Mo-yi Zhang, Zhi-gang Xu, Hong-xiang Duan, Lu Lv
2014 Journal of Computers  
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

Hyeonseok Jeong, Sungyoung Kim
2016 International Journal of Multimedia and Ubiquitous Engineering  
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


Gajanan K. Kharate, Archana S. Ghotkar
2016 International Journal on Smart Sensing and Intelligent Systems  
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

Jeevan Musale*, A P Mane
2016 Zenodo  
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

Zhanpeng Shao, Youfu Li
2015 Pattern Recognition  
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

V.I. Pavlovic, R. Sharma, T.S. Huang
1997 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Levent Burak Kara, Thomas F. Stahovich
2005 Computers & graphics  
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]

Neha Baranwal
2018 arXiv   pre-print
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

R. Venkatesh Babu, K.R. Ramakrishnan
2004 Image and Vision Computing  
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

Xingyu Wu, Xia Mao, Lijiang Chen, Yuli Xue, Alberto Rovetta
2016 Journal of Mathematical Imaging and Vision  
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

Oriol Estapé, Sergi Jordà
2008 Zenodo  
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

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu
2018 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
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

Arman Savran, Chiara Bartolozzi
2020 Sensors  
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

Shahriar Shakir Sumit, Dayang Rohaya Awang Rambli, Seyedali Mirjalili
2021 IEEE Access  
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]

Vahid Jalili
2017 arXiv   pre-print
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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