Static Gesture Recognition Combining Graph and Appearance Features

Abstract

 In this paper we propose the combination of graph-based characteristics and appearance-based descriptors such as detected edges for modeling static gestures. Initially we convolve the original image with a Gaussian kernel and blur the image. Canny edges are then extracted. The blurring is performed in order to enhance some characteristics in the image that are crucial for the topology of the gesture (especially when the fingers are overlapping). There are a large number of properties that can describe a graph, one of which is the adjacency matrix that describes the topology of the graph itself. We approximate the topology of the hand utilizing Neural Gas with Competitive Hebbian Learning, generating a graph. From the graph we extract the Laplacian matrix and calculate its spectrum. Both canny edges and Laplacian spectrum are used as features. As a classifier we employ Linear Discriminant Analysis with Bayes’ Rule. We apply our method on a published American Sign Language dataset (ten classes) and the results are very promising and further study of this approach is imminent from the authors.

Authors and Affiliations

Marimpis Avraam

Keywords

Related Articles

 Comparative Analysis of Improved Cuckoo Search(ICS) Algorithm and Artificial Bee Colony (ABC) Algorithm on Continuous Optimization Problems

 This work is related on two well-known algorithm, Improved Cuckoo Search and Artificial Bee Colony Algorithm which are inspired from nature. Improved Cuckoo Search (ICS) algorithm is based on Lévy flight and behavi...

A Novel 9/7 Wavelet Filter banks For Texture Image Coding

This paper proposes a novel 9/7 wavelet filter bank for texture image coding applications based on lifting a 5/3 filter to a 7/5 filter, and then to a 9/7 filter. Moreover, a one-dimensional optimization problem for the...

 Analytical Study of Some Selected Classification Algorithms in WEKA Using Real Crime Data

 Data mining in the field of computer science is an answered prayer to the demand of this digital age. It is used to unravel hidden information from large volumes of data usually kept in data repositories to help im...

 Realistic Rescue Simulation Method with Consideration of Road Network Restrictions

 A realistic rescue simulation method with consideration of road network restrictions is proposed. Decision making and emergency communication system play important roles in rescue process when emergency situations...

 Location Monitoring System with GPS, Zigbee and Wifi Beacon for Rescuing Disable Persons

 Location monitoring system for rescue disable persons by switching the location estimation methods with GPS, ZigBee and WiFi beacon is proposed. Rescue system with triage using health condition monitoring together...

Download PDF file
  • EP ID EP152244
  • DOI 10.14569/IJARAI.2014.030201
  • Views 118
  • Downloads 0

How To Cite

Marimpis Avraam (2014).  Static Gesture Recognition Combining Graph and Appearance Features. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(2), 1-4. https://europub.co.uk./articles/-A-152244