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» Recognizing human actions using multiple features
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113
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ICDAR
2003
IEEE
15 years 5 months ago
Video text recognition using feature compensation as category-dependent feature extraction
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
Minoru Mori
EPIA
2007
Springer
15 years 6 months ago
Human Robot Interaction Based on Bayesian Analysis of Human Movements
We present as a contribution to the field of human-machine interaction a system that analyzes human movements online, based on the concept of Laban Movement Analysis (LMA). The im...
Jörg Rett, Jorge Dias
105
Voted
HRI
2006
ACM
15 years 6 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
CVPR
2009
IEEE
16 years 7 months 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...
CVPR
2010
IEEE
15 years 6 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia