Part-based motion descriptor image for human action recognition
Pattern Recognition
Coupled Action Recognition and Pose Estimation from Multiple Views
International Journal of Computer Vision
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Detecting actions, poses, and objects with relational phraselets
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Action recognition with exemplar based 2.5d graph matching
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Qualitative pose estimation by discriminative deformable part models
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Exploring discriminative pose sub-patterns for effective action classification
Proceedings of the 21st ACM international conference on Multimedia
Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
Coloring Action Recognition in Still Images
International Journal of Computer Vision
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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.