Action recognition from a distributed representation of pose and appearance 论文
2011引用 311
Human Pose and Action RecognitionVideo Surveillance and Tracking MethodsGait Recognition and Analysis
详细信息
- 发表日期
- 2011-06-01
- 发表年份
- 2011
关键词
Human Pose and Action RecognitionVideo Surveillance and Tracking MethodsGait Recognition and Analysis
摘要
We present a distributed representation of pose and appearance of people called the “poselet activation vector”. First we show that this representation can be used to estimate the pose of people defined by the 3D orientations of the head and torso in the challenging PASCAL VOC 2010 person detection dataset. Our method is robust to clutter, aspect and viewpoint variation and works even when body parts like faces and limbs are occluded or hard to localize. We combine this representation with other sources of information like interaction with objects and other people in the image and use it for action recognition. We report competitive results on the PASCAL VOC 2010 static image action classification challenge.