@inproceedings{d70c97a6fec04985948a8914b4ef1a55,
title = "Hardware Architecture Design for Template Matching",
abstract = "This paper presents the hardware architecture for ORB (Oriented FAST and Rotated BRIEF) based template matching that can overcome delay problems due to the high computation inherent in existing template matching techniques. The proposed method converts the extracted Canny edge image and FAST corner image into a bit string. It then compares the bit string data to locate the template image in the input image. Template matching is a technology used in various fields, such as object tracking and motion tracking. Because template matching has a long computation time, a solution to this issue has been widely researched in many industrial fields. To solve this problem, we designed a hardware structure based on XILINX Virtex7 (XC7V2000TT1FG1925-1 FPGA using Verilog-HDL).",
keywords = "FAST, FPGA, Key Points, Template Matching",
author = "\{Wan Roh\}, Dong and \{Wook Jeon\}, Jae",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th International System-on-Chip Design Conference, ISOCC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ISOCC47750.2019.9078515",
language = "English",
series = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "287--288",
booktitle = "Proceedings - 2019 International SoC Design Conference, ISOCC 2019",
}