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Tracking and Recognizing Gestures using TLD for Camera based Multi-touch


Affiliations
1 Department of Computer Science and Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai – 600062, India
2 Department of Computer and Network Engineering, College of Engineering, Shaqra University, Saudi Arabia
 

This research work discusses about the tracking system and also recognizing gestures using Tracking-Learning-Detection (TLD) for camera based multi-touch technology. The tracked fingers are assigned unique IDs, and the information about the finger movements are passed to the TUIO protocol. This enables us to have a communication channel between the screen elements and the touch input. A novel and low-cost approach for tracking objects is discussed. This proposed works facilitate to remove the noise by image processing technique. In this research concluded that, the issue of the touch input technologies is large and the implementation has been fulfilled, and also relatively cheap device was built successfully.

Keywords

Gestures Recognizing, Image Processing, Multi Touch, Tracking System
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  • Tracking and Recognizing Gestures using TLD for Camera based Multi-touch

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Authors

Veeramalai Sankaradass
Department of Computer Science and Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai – 600062, India
Z. Faizal Khan
Department of Computer and Network Engineering, College of Engineering, Shaqra University, Saudi Arabia
G. Suresh
Department of Computer Science and Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai – 600062, India

Abstract


This research work discusses about the tracking system and also recognizing gestures using Tracking-Learning-Detection (TLD) for camera based multi-touch technology. The tracked fingers are assigned unique IDs, and the information about the finger movements are passed to the TUIO protocol. This enables us to have a communication channel between the screen elements and the touch input. A novel and low-cost approach for tracking objects is discussed. This proposed works facilitate to remove the noise by image processing technique. In this research concluded that, the issue of the touch input technologies is large and the implementation has been fulfilled, and also relatively cheap device was built successfully.

Keywords


Gestures Recognizing, Image Processing, Multi Touch, Tracking System



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i29%2F121834