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» Action recognition by learning mid-level motion features
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CVPR
2009
IEEE
16 years 4 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
ICIAP
2009
ACM
15 years 4 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
ECCV
2008
Springer
15 years 11 months ago
Cross-View Action Recognition from Temporal Self-similarities
This paper concerns recognition of human actions under view changes. We explore self-similarities of action sequences over time and observe the striking stability of such measures ...
Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patri...
84
Voted
ICCV
2005
IEEE
15 years 11 months ago
Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes...
Moshe Blank, Lena Gorelick, Eli Shechtman, Michal ...
82
Voted
IROS
2007
IEEE
193views Robotics» more  IROS 2007»
15 years 3 months ago
Temporal segmentation and recognition of body motion data based on inter-limb correlation analysis
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
Toru Nakata