Online Classification Method of Target Behavior Patterns Based on Multidimensional Features

Abstract

The invention discloses an online classification method for target behavior patterns based on multidimensional features. The method includes: step 1, defining relevant variables; step 2, using one of the training track data sets of one category to calculate the p value of the current track point in the test track; step 3, repeating step 2, calculating the current track Points correspond to the p-values ​​of other categories; step 4, compare the size of p-values ​​corresponding to all categories, and determine the target behavior pattern category corresponding to the current track point; step 5, the target behavior pattern corresponding to each track point of the current test track After the classification is completed, update the training track data set; step 6, update the multi-factor Hausdorff distance matrix; step 7, classify and discriminate the target behavior pattern corresponding to the next test track. This method comprehensively utilizes the position, speed and heading characteristics of the target, and has the advantages of simple parameter setting, high accuracy and good real-time performance, and has broad application prospects in the field of early warning and monitoring.

Description

technical field [0001] The invention relates to an online classification technology in data mining and a high-level fusion technology in information fusion, and belongs to the field of pattern recognition and intelligent information processing. Background technique [0002] In the field of early warning and surveillance, with the continuous improvement of target detection technology and information fusion technology, various targets are detected, tracked and identified, forming a constantly updated target track. A large amount of historical track data is stored and accumulated in various target intelligence processing systems in the field of early warning and surveillance. Using data mining and cluster analysis technology in trajectory data mining, the target track can be divided into different categories, so as to dig out the behavior of the target. The behavior pattern of the target refers to the category of the target behavior rule that the current observation target bel...

AI Technical Summary

Problems solved by technology

Many scholars at home and abroad have studied the trajectory classification problem, but the existing methods mainly consider the position and shape characteristics of the target, and do not make full use of the position, speed and heading characteristics of the target, and the existing methods are mainly used for offline classification. It is not applicable to the field of early warning and surveillance, which requires high real-time intelligence processing

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