图 书 馆
人类对象交互活动中的对象和人体姿势的建模Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities |
|
| 课程网址: | http://videolectures.net/cvpr2010_fei_fei_mmco/ |
| 主讲教师: | Fei-Fei Li |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in activities involving human-object interactions (e.g. playing tennis), where the relevant object tends to be small or only partially visible, and the human body parts are often self-occluded. We observe, however, that objects and human poses can serve as mutual context to each other – recognizing one facilitates the recognition of the other. In this paper we propose a new random field model to encode the mutual context of objects and human poses in human-object interaction activities. We then cast the model learning task as a structure learning problem, of which the structural connectivity between the object, the overall human pose, and different body parts are estimated through a structure search approach, and the parameters of the model are estimated by a new max-margin algorithm. On a sports data set of six classes of human-object interactions [12], we show that our mutual context model significantly outperforms state-of-theart in detecting very difficult objects and human poses. |
| 关 键 词: | 计算机视觉; 识别; 随机场模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-13：lxf |
| 阅读次数: | 40 |