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 |
|---|---|
| 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 |
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Keywords
- FPGA
- Hardware Engine
- KLT Tracker
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering
Cite this
“Implementation of Hardware Engine for Real-Time KLT Tracker”. / Sakayori, Takahiro; Ikenaga, Takeshi.
In: Journal of the Institute of Image Electronics Engineers of Japan, Vol. 38, No. 5, 2009, p. 656-663.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - “Implementation of Hardware Engine for Real-Time KLT Tracker”
AU - Sakayori, Takahiro
AU - Ikenaga, Takeshi
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - FPGA
KW - Hardware Engine
KW - KLT Tracker
UR - http://www.scopus.com/inward/record.url?scp=85017235192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017235192&partnerID=8YFLogxK
U2 - 10.11371/iieej.38.656
DO - 10.11371/iieej.38.656
M3 - Article
AN - SCOPUS:85017235192
VL - 38
SP - 656
EP - 663
JO - Journal of the Institute of Image Electronics Engineers of Japan
JF - Journal of the Institute of Image Electronics Engineers of Japan
SN - 0285-9831
IS - 5
ER -