Applied Mathematics & Information Sciences

@inproceedings{Wenkai2012AppliedM,
  title={Applied Mathematics \& Information Sciences},
  author={Xu Wenkai and Eung-Joo Lee},
  year={2012}
}
In this paper, we propose an automatic system for recognizing continuous gestures in real-time, including Arabic numbers (0-9) and alphabets (A-Z). We present an improved method for hand area detection and segmentation based on YCbCr and HSI mixed skin color space, the improved CAMSHIFT algorithm used for hand tracking. Orientation dynamic features are obtained from spatiotemporal trajectories and then quantized to generate its code words. An improved HMM-FNN model is proposed for gesture… Expand

Figures and Tables from this paper

Contour-Based Image Registration using Bipartite Graph Matching with Munkres Algorithm
Image registration is a vital research topic in image processing. In this pap er, we present a novel method to register color image and depth information captured by Kinect for Xbox 360. AExpand
Robust Sparse 2D Principal Component Analysis for Object Recognition
TLDR
The experimental results show that the proposed RS2DPCA outperform the same class of algorithms for face recognition, such as robust sparse PCA, L1-norm-based 2 DPCA, and it is proved that RS2dPCA can offer a good solution of seeking spare 2D principal components. Expand
Biologically Inspired Algorithms Case Study for Node Localization in Wireless Sensor Networks using LabVIEW.
Nature is of course a great source of inspiration for solving complex problems in the electronics era since it exhibits exceptionally diverse, dynamic and complex phenomenon. Wireless sensor networksExpand
A novel ray-shooting method to render night urban scenes a method based on polar diagrams
TLDR
This paper proposes a novel real-time method to determine the shadowed and illuminated areas in large scenes, specially suitable for urban environments, using the polar diagram as a tessellation plane, and a ray-casting process to obtain the visible areas. Expand
Robust Predictive Control of Input Constraints and Interference Suppression for Semi-Trailer System
In this paper, an online receding robust predictive control scheme is proposed for inputconstrained semi-trailer system with delay and disturbance. The controller method meets the requirements ofExpand
Event Detection in Multiple Webpages based on Comprehensive Dimension Matching and Co-occurrence Constraint
Detecting various sentence-level events from multiple webpages can be important in finding knowledge. We propose an event detection method based on comprehensive dimension matching and co-occurrenceExpand
Adaptive Control Based on Incremental Hierarchical Sliding Mode for Overhead Crane Systems
TLDR
Simulation results illustrate the feasibility of the presented method by transport control of overhead crane systems and prove the system stability is proven by Barbalat's lemma and Lasalle's invariance principle in the sense of Lyapunov theory. Expand
The Comparisons of OpenCL and OpenMP Computing Paradigm
TLDR
Experimental results indicate that inexpensive GPUs perform better than servers if OpenCL paradigms are adopted, and demonstrates the capabilities of OpenCL with several platforms, based on a preliminary example. Expand
The Behavior Trustworthiness Analysis Methods of Composite Web Services Based on Process Mining
TLDR
An effective analysis method of behavior conformance based on process mining that can realize the predictable behavior of software, and satisfy the behavior trustworthiness requirements of software. Expand
AN INVESTIGATION OF A NONLOCAL ENTANGLEMENT OF TWO UNCOUPLED ATOMS EMBEDDED IN A COHERENT CAVITY FIELD AND THE ASSOCIATED PHASE SPACE DISTRIBUTION: ONE QUANTUM NONLINEAR PROCESS
Entanglement properties of two uncoupled atoms embedded in a coherent field distribution through one quantum transition process are studied. A case of non-linear Hamiltonian of the problem isExpand
...
1
2
...

References

SHOWING 1-10 OF 17 REFERENCES
Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Color Image Sequences
This paper proposes a system to recognize the alphabets and numbers in real time from color image sequences by the motion trajectory of a single hand using Hidden Markov Models (HMM). Our system isExpand
Evaluation of HMM training algorithms for letter hand gesture recognition
  • Nianjun Liu, B. Lovell, P. Kootsookos
  • Computer Science
  • Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
  • 2003
TLDR
An application using computer vision for letter hand gesture recognition using Hidden Markov models to provide an alternate text input mechanism for camera enabled handheld devices, such as video mobile phones and PDAs. Expand
Model structure selection & training algorithms for an HMM gesture recognition system
TLDR
It is shown that recognition rates improve when moving from a fully-connected model to a left-right model and aLeft-right banded 'staircase' model with peak recognition rates of 84.8, 92.31%, and 97.31% respectively. Expand
Hand gesture recognition using combined features of location, angle and velocity
TLDR
Experimental results demonstrate that the proposed HMM approach yields a satisfactory and higher recognition rate for user images of different hand size, shape and skew angle. Expand
A Novel Method to Recognize Complex Dynamic Gesture by Combining HMM and FNN Models
  • Xiying Wang, Guozhong Dai
  • Computer Science
  • 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing
  • 2007
TLDR
A novel HMM-FNN model is proposed in this paper that combines temporal modeling capability of hidden Markov model, and ability of fuzzy neural network for fuzzy rule modeling and fuzzy inference, and achieves a higher recognition rate than conventional HMM model. Expand
Hand movement classification using an adaptive fuzzy expert system
TLDR
A prototype of the Hand Sign Classification (HSC) system is developed that classifies a series of the full degrees-of-freedom kinematic data of a hand into sign language signs as a fuzzy expert system in which the sign knowledge can be represented by high level imprecise descriptions. Expand
View invariant hand gesture recognition using 3D trajectory
TLDR
A view invariant hand gesture recognition algorithm based on the assumption that the gesture trajectory is almost in a plane, which is called principal gesture plane is proposed. Expand
A Neural Network Approach for Hand Gesture Recognition in Virtual Reality Driving Training System of SPG
  • Deyou Xu
  • Computer Science
  • 18th International Conference on Pattern Recognition (ICPR'06)
  • 2006
TLDR
BP neural network is used to recognize the hand patterns which exist in the raw sensor data of the dataglove and can be effectively used in the virtual reality training system of SPG to perform various manipulating tasks in a more fast, precise, and natural way. Expand
The Hand Mouse: Hand Detection and Hand Tracking
In this paper, we present a novel method of hand detection and improve the CAMSHIFT algorithm for hand tracking. We first detect the hand by using YCbCr hand-color likelihood. It is based the natureExpand
Research of the Improved Camshift Tracking Algorithm
TLDR
The improved Camshift algorithm based on the Kalman filter, which is applied to track a moving target, effectively overcomes the shortcoming of the traditional Cam shift algorithm. Expand
...
1
2
...