Open Access
ARTICLE
Recognition and Tracking of Objects in a Clustered Remote Scene Environment
1 Wah Engineering College, University of Wah, Wah Cantt, Pakistan
2 Department of Electrical Engineering, University of Lahore, Islamabad Campus, Pakistan
3 Department of Unmanned Vehicle Engineering, Sejong University, Seoul, 05006, Korea
4 Department of Computer Science, HITEC University Taxila, Taxila, 47040, Pakistan
5 College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Khraj, Saudi Arabia
6 Department of ICT Convergence, Soonchunhyang University, Asan, 31538, Korea
* Corresponding Author: Yunyoung Nam. Email: