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Computer vision inspired real-time autonomous moving target detection, tracking and locking

Iqbal, Javed; Pasha, Syed Mustafa; Baizid, Khelifa; Khan, Abdul Attayyab; Iqbal, Jamshed

Authors

Javed Iqbal

Syed Mustafa Pasha

Khelifa Baizid

Abdul Attayyab Khan



Abstract

Moving object analysis is one of the most important and challenging research subjects in computer vision, video processing and robotics. This analysis is three folds: object detection followed by its tracking and locking. Today's applications demand object analysis in real time, which further complicates the problem. Autonomy is another desired feature of such a system since manual handling of moving targets with a camera platform requires constant attention of humans thus making the tracking task cumbersome, time consuming and erroneous. To addressing these challenges, this research paper presents a complete system for handling moving objects i.e. from their detection to locking. Detection and tracking has been achieved using frame differencing and mean-shift algorithms whereas locking is accomplished using the developed control system. The presented strategy has been validated in simulation environment as well as using a custom-developed hardware platform. The prototype consists of an on-board camera, pan-tilt system and a wooden assembly. The performance of the algorithms has been tested based on recorded video as well as on real time live streaming. Experimental results demonstrated that the system has ability to track moving objects efficiently. The proposed system finds application for simple object detection to complex multiple tracking in various industries like transport, military, sports etc.

Citation

Iqbal, J., Pasha, S. M., Baizid, K., Khan, A. A., & Iqbal, J. (2013). Computer vision inspired real-time autonomous moving target detection, tracking and locking. Life science journal, 10(4), 3338-3345

Journal Article Type Article
Online Publication Date Jun 12, 2013
Publication Date Dec 1, 2013
Deposit Date Sep 14, 2021
Journal Life Science Journal
Print ISSN 1097-8135
Peer Reviewed Peer Reviewed
Volume 10
Issue 4
Article Number 443
Pages 3338-3345
Keywords Motion estimation; Target tracking; Computer vision; Image processing; Robotics
Public URL https://hull-repository.worktribe.com/output/3797192
Publisher URL http://www.lifesciencesite.com/lsj/life1004/443_B02368life1004_3338_3345.pdf