计算机工程2012，Vol.38Issue(16)：185-188,4.DOI:10.3969/j.issn.1000-3428.2012.16.048
基于深度图像学习的人体部位识别
Human Body Part Recognition Based on Depth Image Learning
摘要
Abstract
Aiming at human body recognition problem, this paper proposes a human body part recognition system, which is based on depth image learning. It constructs depth image sample library, including training set and testing set, extracts local gradient feature from training samples, uses random forest to learn the classifier for separating each single points going through the image and computes each joint point of human body. Experimental result shows that the system can recognize different human body parts fast and accurately.关键词
人体部位识别/深度图像/随机森林/监督学习/局域梯度特征Key words
human body part recognition/ depth image/ random forest/ supervised learning/ local gradient feature分类
信息技术与安全科学引用本文复制引用
林鹏,张超,李竹良,赵宇明..基于深度图像学习的人体部位识别[J].计算机工程,2012,38(16):185-188,4.基金项目
国家自然科学基金资助项目“多视角下的多类型目标识别与行为分析”(61175009) （61175009）
