Application of Artificial Intelligence in an Unsupervised Algorithm for Trajectory Segmentation Based on Multiple Motion Features

Algorithm 1

Trajectory segmentation algorithm based on the Pearson coefficient.

Input: The raw trajectory , time threshold , Pearson coefficient threshold

Output: Segment point sequence

1:  Calculate the Pearson coefficient of all adjacent trajectory points

2:  add and to

3:   the sum of the num of points with

4:   time complexity is

5:    the minimum value of and the corresponding points

6:    the adjacent segmentation points of in the

7:   Time interval between and

8:    Time interval between and

9:   

10:    add to

11:   end if

12:  end for

13: