CAJ | 학술논문

物体识别是智能移动机器人的重要功能之一，针对计算机视觉领域移动机器人在约束场景，如低图像分辨率，运动模糊和背景杂乱等相关研究比较少的现状，根据移动机器人捕获图像的特点，对随机蕨算法的参数进行了调整，并对匹配标准进行了改进，取得了较好的识别正确率。该算法实时性较好，适用于移动机器人的物体识别。
물체식별시지능이동궤기인적중요공능지일，침대계산궤시각영역이동궤기인재약속장경，여저도상분변솔，운동모호화배경잡란등상관연구비교소적현상，근거이동궤기인포획도상적특점，대수궤궐산법적삼수진행료조정，병대필배표준진행료개진，취득료교호적식별정학솔。해산법실시성교호，괄용우이동궤기인적물체식별。
Object recognition is one of the important functions of the intelligent mobile robot and has been considerable re -search in the field of computer vision .But research on object recognition algorithm for mobile robot in constrained scenes , such as low image resolution , motion blur and background clutter etc , is still relatively poor .Based on the image capture by mobile ro-bot, the parameters of the algorithm of random fern were adjusted and the match standard was improved to obtain better recogni -tion accuracy .The algorithm is better suited to real -time object recognition for a mobile robot .