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Visual tracking using convolutional features with sparse coding |
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| Authors: | Abbass Mohammed Y Kwon Ki-Chul Kim Nam Abdelwahab Safey A El-Samie Fathi E Abd Khalaf Ashraf A M |
| Affiliation: | 1.School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea ;2.Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt ;3.Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt ;4.Electronics and Communications Department, Faculty of Engineering, Minia University, Minia, Egypt ;5.Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia ; |
| Abstract: | Artificial Intelligence Review - Visual object tracking has become one of the most active research topics in computer vision, and it has been applied in several commercial... |
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| 本文献已被 SpringerLink 等数据库收录！ | |