Trajectory segmentation method and device

Abstract

The invention discloses a trajectory segmentation method and a device. The trajectory segmentation method comprises an acquisition step used for acquiring multiple trajectory sampling points, a segmentation step used for segmenting the trajectory to obtain at least two candidate segmentation points, a feature extraction step used for extracting a set of features describing the relative relationship between the at least two candidate segmentation points, and a classification step used for classifying the at least two candidate segmentation points as true or false segmentation points using a classifier based on the extracted features.

Description

technical field [0001] The present invention generally relates to the field of trajectory recognition, and in particular relates to a method and device for segmenting a trajectory. Background technique [0002] In recent years, trajectory recognition has been widely used in human-computer interaction systems. Gesture recognition technology enables users to send commands to TVs, computers, game boxes and mobile phones. Characters, sentences or coded instructions can be expressed through gestures. These gestures need to be recognized in order to decode the meaning behind them or to control further operations of the intended device. [0003] Existing trajectory recognition methods usually require the locations of meaningful trajectories as input. However, requiring such input to be feasible is often impractical, making it difficult to deploy trajectory recognition-based systems in many real-world scenarios. Therefore, segmenting the input trajectory to distinguish meaningfu...

AI Technical Summary

Problems solved by technology

This method needs to go back to the previous candidate segmentation points, so it is computationally expensive

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