JOURNAL ARTICLE

Dual Tracking Method for Real Time Object Tracking using Moving Camera

Shyam LalRahul Kumar

Year: 2013 Journal:   Research Journal of Applied Sciences Engineering and Technology Vol: 5 (16)Pages: 4158-4167   Publisher: Maxwell Scientific Publications

Abstract

This study presents dual tracking method for real time object tracking using a moving camera. A real time object tracking using self aligning servo mechanism with webcam, dual tracking and effective localization of object is presented. The proposed dual tracking method works in two phases: In first phase tracking is done by joint color texture histogram with mean shift and in second phase tracking is done by servo setup. The proposed dual tracking method enjoys the benefit of double tracking feature, not only tracking but also to find out the coordinates of the tracking object which is of particular interest. The coordinates of a moving object enable us to estimates the real time location of the object which is helpful in surveillance and shooting purposes of suspected person in security area. The tracking of some specific objects in real life is of particular interest. Due to its enhanced automation the proposed dual tracking method can be applied in public security, surveillance, robotics and traffic control etc. The experimental results demonstrate that the proposed dual tracking method improves greatly the tracking area with accuracy and efficiency and also successfully find the coordinates of moving object.

Keywords:
Computer vision Artificial intelligence Tracking (education) Video tracking Computer science Tracking system Object (grammar) Histogram Dual (grammatical number) Kalman filter Image (mathematics)

Metrics

1
Cited By
0.26
FWCI (Field Weighted Citation Impact)
36
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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