Digest information generation method and system of motion trajectory

Abstract

The invention discloses a digest information generation method and system of a motion trajectory. The method is finished in a server and comprises the following steps of: receiving the position time series sequence of a person to be monitored, and generating the motion trajectory of the person to be monitored, wherein the position time series sequence comprises the ID (Identity) of the person to be monitored, time and position IDs; according to a time value in the position time series sequence and the characteristic information of each place in each time period in social environment, solving the place attribute of each position ID; dividing the motion trajectory of the person to be monitored into at least one sub-trajectory, setting the sites of the position IDs corresponding to two ends of each sub-trajectory as nodes, and storing time information and a trend direction corresponding to the corresponding node to a node database; calling the time information and the trend direction of each node in the node database, generating a trajectory tree, and storing the trajectory tree to a trajectory tree database; and adding a logic conjunction between every two nodes of the trajectory tree to generate the digest information of the motion trajectory of the person to be monitored.

Description

technical field [0001] The invention belongs to the field of personnel monitoring, and in particular relates to a method and system for generating summary information of motion tracks. Background technique [0002] Trajectory refers to all the paths that individuals move through to meet their needs in the objective space. It is an objective manifestation of individual behavior. Trajectory management is to effectively analyze the behavior path of individuals, fully mine the effective data and abnormal data in the trajectory, so as to find problems in time and correct them, so as to ensure the good living conditions of individuals and groups, and thus produce good management effects . Abnormal living conditions are very harmful to individuals and society. If the abnormality cannot be discovered in time, it is easy to go astray and become a hidden danger to the family or society. [0003] The existing individual trajectory monitoring has poor continuity of position and time ...

AI Technical Summary

Problems solved by technology

[0003] The existing individual trajectory monitoring has poor continuity of position and time and information redundancy in the trajectory, resulting in poor monitoring accuracy of individual trajectory; and the individual trajectory has not been written, and the monitoring efficiency of individual trajectory is low

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