High-Frame-Rate Optical Flow System

被引：66

作者：

Ishii, Idaku ^{[1
]}

Taniguchi, Taku ^{[1
]}

Yamamoto, Kenkichi ^{[1
]}

Takaki, Takeshi ^{[1
]}

机构：

[1] Hiroshima Univ, Dept Syst Cybernet, Hiroshima 7398527, Japan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2012年 / 22卷 / 01期

关键词：

Gradient-based algorithm; hardware implementation; high-frame-rate vision; motion estimation; VISION; IMPLEMENTATION; PROCESSOR;

D O I：

10.1109/TCSVT.2011.2158340

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we develop a high-frame-rate (HFR) vision system that can estimate the optical flow in real time at 1000 f/s for 1024 x 1024 pixel images via the hardware implementation of an improved optical flow detection algorithm on a highspeed vision platform. Based on the Lucas-Kanade method, we adopt an improved gradient-based algorithm that can adaptively select a pseudo-variable frame rate according to the amplitude of the estimated optical flow to accurately detect the optical flow for objects moving at high and low speeds in the same image. The performance of our developed HFR optical flow system was verified through experimental results for high-speed movements such as a top's spinnning motion and a human's pitching motion.

引用

页码：105 / 112

页数：8

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