Action Recognition In Still Images
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Latest papers with no code
Expanded Parts Model for Human Attribute and Action Recognition in Still Images
We propose a new model for recognizing human attributes (e. g. wearing a suit, sitting, short hair) and actions (e. g. running, riding a horse) in still images.
Learning person-object interactions for action recognition in still images
First, we replace the standard quantized local HOG/SIFT features with stronger discriminatively trained body part and object detectors.
