Metric and Identification of Spatial Objects Based on Data Fields

نویسندگان

  • Shuliang Wang
  • Juebo Wu
  • Feng Cheng
چکیده

Identification research on spatial object, such as action identification and validity identification, is a hot topic in recent years and much study has focused on it. In this paper, data field is proposed to describe spatial object as a metric and improve the accuracy of identification. Potential function, as a part of data field, is introduced to discover the power of each object. Two kinds of data fields are created to express the personality and common characteristic of each object respectively. Weighted Euclidean Distance (WED) classifier is utilized in final identification. An experiment on real-time person tracking is carried out, and accuracy analysis is also discussed.

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تاریخ انتشار 2008