{
  "id": "1605.04988",
  "version": "v1",
  "published": "2016-05-16T23:59:10.000Z",
  "updated": "2016-05-16T23:59:10.000Z",
  "title": "Going Deeper into Action Recognition: A Survey",
  "authors": [
    "Samitha Herath",
    "Mehrtash Harandi",
    "Fatih Porikli"
  ],
  "categories": [
    "cs.CV"
  ],
  "abstract": "We provide a detailed review of the work on human action recognition over the past decade. We refer to \"actions\" as meaningful human motions. Starting with methods that are based on handcrafted representations, we review the impact of revamped deep neural networks on action recognition. We follow a systematic taxonomy of action recognition approaches to present a coherent discussion over their improvements and fall-backs.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2016-05-16T23:59:10.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "human action recognition",
      "revamped deep neural networks",
      "action recognition approaches",
      "meaningful human motions",
      "coherent discussion"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}