Pedestrian event detection method based on shape features and trajectory analysis

Abstract

The invention provides a pedestrian event detection method based on shape features and trajectory analysis. A foreground target is obtained through target segmentation by means of background differencing, a connected domain of the same target is marked through a block-based method, meanwhile an enclosing rectangle of the connected domain is recorded and geometric shape characteristics of the enclosing rectangle are extracted, and target recognition is finished. When a target similar to a pedestrian is recognized, corner points of the target are extracted, and the corner points are tracked and matched by means of corner point position information. The preceding processes are repeated, and the motion track of the target is obtained. Segmented inflection points of the track are obtained, and linear analysis is carried out in each segment where the inflection points are formed, so that the speed of the target is obtained. Therefore, pedestrian and event state information is analyzed, and traffic safety warning is finished. The detection method is suitable for complex and changeable traffic scenes, can precisely recognize, track and early warn the pedestrian appearing in a monitoring video range, is high in practical value, and has wide application prospects.

Description

technical field [0001] The invention belongs to the field of video detection, and in particular relates to a pedestrian event detection method based on shape feature and trajectory analysis. Background technique [0002] With the development of road traffic construction, the contradiction between pedestrians and vehicles has become more and more prominent, resulting in frequent occurrence of traffic accidents. Pedestrian violations are an important cause of traffic accidents, such as running red lights, crossing the road, breaking into expressways, etc. Therefore, the monitoring of pedestrian violations has become an important part of traffic monitoring. The current traffic monitoring is mainly realized by manually checking the monitoring video and road inspection. This method is inefficient, cannot achieve real-time monitoring, and causes a great waste of resources. In the field of intelligent transportation, traditional pedestrian detection methods mainly include temperat...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the traffic scene, the background and moving objects are easy to change due to factors such as light and weather. Although there are many pedestrian detection methods, such as methods based on human body parameter models and methods based on local characteristics of the human body, pedestrian event alarms can be realized. However, it cannot meet the requirements of good adaptability to environmental factors and obtaining real-time and accurate traffic detection information.

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