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» Action recognition by learning mid-level motion features
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ICPR
2010
IEEE
15 years 2 months ago
The Human Action Image
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
Ricky Sethi, Amit Roy-Chowdhury
CVPR
2010
IEEE
15 years 5 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ICPR
2004
IEEE
15 years 10 months ago
Recognizing Human Actions: A Local SVM Approach
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
Christian Schüldt, Ivan Laptev, Barbara Caput...
ECCV
2010
Springer
15 years 2 months ago
Tracklet Descriptors  for Action Modeling and Video Analysis
We present spatio-temporal feature descriptors that can be inferred from video and used as building blocks in action recognition systems. They capture the evolution of ``elementar...
Michalis Raptis , Stefano Soatto
CVIU
2008
207views more  CVIU 2008»
14 years 9 months ago
A differential geometric approach to representing the human actions
This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at eac...
Alper Yilmaz, Mubarak Shah