Metric and Identification of Spatial Objects Based on Data Fields
Shuliang Wang 1, 2, Juebo Wu 2 +, Feng Cheng 1 and Hong Jin 1
1 International School of Software, Wuhan University, Wuhan 430079, China
2 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Abstract. 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.
Keywords: data field, spatial object metric, spatial object identification, accuracy analysis.
In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).