We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as ...
We propose a novel approach that treats the pose of the person in the image as latent variables that will help with recognition. Different from other work that ...
Jul 18, 2023 · This paper proposes a new module that functions like a convolutional layer that uses Vision Transformer (ViT).
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In this paper, we approach the problem of under- standing human actions from still images. Our method involves representing the pose with a spatial and ori-.
Still image based action recognition has many useful ap- plications. It can be used for surveillance, robotic appli- cations, human computer interaction ...
We study action recognition in typical consumer photographs and construct a new dataset [2] with seven classes of actions in 911 images obtained from the Flickr ...
Many human actions, such as "playing violin'' and "taking a photo'', can be well described by still images, because of the specific spatial relationship ...
The most popular high-level cues for still image-based action recognition include: the human body, body parts, action-related objects, human object interaction, ...
Abstract: In this study, a new method is proposed for recognizing actions from still images with general content. High increase in the number of action ...