{
  "id": "1502.06075",
  "version": "v1",
  "published": "2015-02-21T07:10:02.000Z",
  "updated": "2015-02-21T07:10:02.000Z",
  "title": "A new network-based algorithm for human activity recognition in video",
  "authors": [
    "Weiyao Lin",
    "Yuanzhe Chen",
    "Jianxin Wu",
    "Hanli Wang",
    "Bin Sheng",
    "Hongxiang Li"
  ],
  "comment": "This manuscript is the accepted version for TCSVT (IEEE Transactions on Circuits and Systems for Video Technology)",
  "journal": "IEEE Trans. Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 826-841, 2014",
  "categories": [
    "cs.CV"
  ],
  "abstract": "In this paper, a new network-transmission-based (NTB) algorithm is proposed for human activity recognition in videos. The proposed NTB algorithm models the entire scene as an error-free network. In this network, each node corresponds to a patch of the scene and each edge represents the activity correlation between the corresponding patches. Based on this network, we further model people in the scene as packages while human activities can be modeled as the process of package transmission in the network. By analyzing these specific \"package transmission\" processes, various activities can be effectively detected. The implementation of our NTB algorithm into abnormal activity detection and group activity recognition are described in detail in the paper. Experimental results demonstrate the effectiveness of our proposed algorithm.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2015-02-21T07:10:02.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "human activity recognition",
      "network-based algorithm",
      "package transmission",
      "experimental results demonstrate",
      "group activity recognition"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}