# Human Pose and Action Recognition

{
  "id": "T10812",
  "title": "Human Pose and Action Recognition",
  "url": "/topics/T10812",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "573dc9cdec31140c",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36174758274582615",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1707,
    10812
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T10812

No owner-reviewed local answer yet.