A Hybrid Object Tracking for Hand Gesture (HOTHG) Approach based on MS-MD and its Application
Journal Title: Journal of Information Systems and Telecommunication - Year 2015, Vol 3, Issue 4
Abstract
In the research proposed here, a hybrid object tracking approach, namely HOTHG, with its application to hand gesture recognition in American Sign Language; ASL, is realized. This is in fact proposed to track and recognize the hand gesture, in an effective manner, in line with the mean shift; MS, and the motion detection; MD, entitled MS/MD-based approach. The results are synchronously investigated based on these two well-known techniques in the area of object tracking to modify those obtained from the traditional ones. The MS algorithm can track the objects based on its detailed targets, so we have to specify ones, as long as the MD algorithm is not realized. In the proposed approach, the advantages of two algorithms are efficiently used to upgrade the hand tracking performance. In the first step, the MD algorithm is applied to remove a number of parts without area motion, and subsequently the MS algorithm is accurately realized for hand tracking. Finally, the present approach is carried out to eliminate the weakness of the traditional methods, which are only organized in association with the MS algorithm. The results are all carried out on Boston-104 database, where the hand gesture is tracked in better form with respect to the previous existing approaches.
Authors and Affiliations
Amir Hooshang Mazinan, Jalal Hassanian
Keywords
Related Articles
- EP ID EP184674
- DOI 10.7508/jist.2015.04.008
- Views 152
- Downloads 0
Enhancing Efficiency of Software Fault Tolerance Techniques in Satellite Motion System
This research shows the influence of using multi-core architecture to reduce the execution time and thus increase performance of some software fault tolerance techniques. According to superiority of N-version Programming...
Simultaneous Methods of Image Registration and Super-Resolution Using Analytical Combinational Jacobian Matrix
In this paper we propose two new simultaneous image registration (IR) and super-resolution (SR) methods using a novel approach to calculate the Jacobian matrix. SR is the process of fusing several low resolution (LR) ima...
SIP Vulnerability Scan Framework
The purpose of this paper is to provide a framework for detecting vulnerabilities in SIP (Session Initiation Protocol) networks. We try to find weaknesses in SIP enabled entities that an attacker by exploiting them is ab...
Extracting Credit Rules from Imbalanced Data: The Case of an Iranian Export Development Bank
Credit scoring is an important topic, and banks collect different data from their loan applicant to make an appropriate and correct decision. Rule bases are of more attention in credit decision making because of their ab...
The Separation of Radar Clutters using Multi-Layer Perceptron
Clutter usually has negative influence on the detection performance of radars. So, the recognition of clutters is crucial to detect targets and the role of clutters in detection cannot be ignored. The design of radar det...