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ICPR
2004
IEEE
14 years 6 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...
CVPR
2009
IEEE
15 years 14 days ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
13 years 3 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
ICCV
2009
IEEE
13 years 3 months ago
Local Trinary Patterns for human action recognition
We present a novel action recognition method which is based on combining the effective description properties of Local Binary Patterns with the appearance invariance and adaptabil...
Lahav Yeffet, Lior Wolf
ICCV
2011
IEEE
12 years 5 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni