Abstract
A real-time object tracking becomes more and more important in a wide variety of vehicle or surveillance camera systems. This paper focuses on implementation of a hardware engine for a real-time KLT Tracker (Kanade-Lucas-Tomasi) which is known as a robust object tracking algorithm. The proposed architecture includes stream data and parallel processing schemes for high performance. Furthermore, a memory I/F based on FIFO and image block buffer enable to reduce a memory access delay. Experimental results based on FPGA show that the proposed engine can attain 9 ms @ 100 MHz for a 640 × 480 image with 100 feature points.
Original language | English |
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Pages (from-to) | 656-663 |
Number of pages | 8 |
Journal | Journal of the Institute of Image Electronics Engineers of Japan |
Volume | 38 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- FPGA
- Hardware Engine
- KLT Tracker
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering