“Implementation of Hardware Engine for Real-Time KLT Tracker”

Takahiro Sakayori; Takeshi Ikenaga

doi:10.11371/iieej.38.656

“Implementation of Hardware Engine for Real-Time KLT Tracker”

Takahiro Sakayori, Takeshi Ikenaga

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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	https://doi.org/10.11371/iieej.38.656
Publication status	Published - 2009

Keywords

FPGA
Hardware Engine
KLT Tracker

ASJC Scopus subject areas

Computer Science (miscellaneous)
Electrical and Electronic Engineering

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10.11371/iieej.38.656

Cite this

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“Implementation of Hardware Engine for Real-Time KLT Tracker”

Abstract

Keywords

ASJC Scopus subject areas

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