Searching Ball Around ROI to Increase Computational Processing of Detection

Rangga Dikarinata, Iwan Kumianto Wibowo, M. Bachtiar, Muhammad Abdul Haq
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引用次数: 2

Abstract

Wheeled Indonesian Soccer Robot Contest (Wheeled KRSBI) is a national competition focused on the development of wheeled soccer robots. EEPIS Robot Soccer On Wheeled (ERSOW) is one of KRSBI's wheeled soccer robots. ERSOW has Artificial Intelligent (AI) for detecting balls, dribbling, and avoiding opponents. Currently, the object detection system in ERSOW uses image processing, this will be a heavy computation because it is done thoroughly in all pixel area. This research focused on making local detection to reduce heavy image processing. Local detection works by searching for local objects in the area around the detected object. It creates the ROI for local detection. From the results of tests conducted when the ball is detected, local detection system can increase 4 EPS from the full frame detection system, whereas in the test results when the ball is not detected, the local detection system is 0.2 FPS slower than the full frame detection system.
在ROI周围搜索球以增加检测的计算量
轮式印尼足球机器人大赛(轮式KRSBI)是一项专注于轮式足球机器人发展的全国性比赛。EEPIS轮式机器人足球(ERSOW)是KRSBI轮式足球机器人之一。ERSOW具有人工智能(AI),可以检测球,运球和避开对手。目前,ERSOW中的目标检测系统采用的是图像处理方法,由于要对所有像素区域进行彻底的处理,计算量很大。本研究的重点是局部检测,以减少繁重的图像处理。局部检测是在被检测对象周围的区域内搜索局部对象。它为本地检测创建ROI。从检测到球时的测试结果来看,局部检测系统可以比全帧检测系统增加4 EPS,而在未检测到球时的测试结果中,局部检测系统比全帧检测系统慢0.2 FPS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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