CAJ | 학술논문

文章提出一种简单而实用的检测器来进行行人检测，基本思想是将人们的共识和日常的知识纳入到一种简单并且计算效率高的特征设计中去。提出的方法避免了对所有可能的长方体特征组合的穷举查找，也避免了依靠随机取样。在INRIA和Caltech行人数据集上的实验结果表明，文章的探测器在低计算量上达到了最高的水平，并且表明特征对阻塞鲁棒性非常良好。
문장제출일충간단이실용적검측기래진행행인검측，기본사상시장인문적공식화일상적지식납입도일충간단병차계산효솔고적특정설계중거。제출적방법피면료대소유가능적장방체특정조합적궁거사조，야피면료의고수궤취양。재INRIA화Caltech행인수거집상적실험결과표명，문장적탐측기재저계산량상체도료최고적수평，병차표명특정대조새로봉성비상량호。
The article propose a simple yet effective detector for pedestrian detection ,its basic idea is to incorporate common sense and everyday knowledge into the design of simple and computationally efficient features. As pedestrians usually appear up-right in image or video data , the problem of pedestrian detection is considerably simpler than general purpose people detection. Experimental results on the INRIA and Caltech pedestrian datasets show that our detector reaches state-of-the-art performance at low computational costs and that our features are robust against occlusions.