一种基于AI的行为管控方法及系统

本发明涉及智能监管技术领域，具体公开了一种基于AI的行为管控方法及系统，所述方法包括在区域入口处获取主体图像，对主体图像进行识别，确定主体区域，同步提取主体特征；将主体特征插入区域特征库，基于区域特征库实时对区域视频进行追踪，确定主体运动轨迹；根据所述主体运动轨迹定位异常主体，基于第二精度采集异常主体的近景视频，基于AI对近景视频进行识别；记录经过AI识别的近景视频及其识别结果，训练本地识别模型；本发明对获取到的视频进行主体识别，确定主体的运动轨迹，根据运动轨迹选取部分区域，应用AI进行识别，减少了识别任务量，与此同时，根据识别结果蒸馏出一个本地模型，进一步地提高了识别效率。 The inve...

Full description

Saved in:
Bibliographic Details
Format Patent
LanguageChinese
Published 15.08.2025
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:本发明涉及智能监管技术领域，具体公开了一种基于AI的行为管控方法及系统，所述方法包括在区域入口处获取主体图像，对主体图像进行识别，确定主体区域，同步提取主体特征；将主体特征插入区域特征库，基于区域特征库实时对区域视频进行追踪，确定主体运动轨迹；根据所述主体运动轨迹定位异常主体，基于第二精度采集异常主体的近景视频，基于AI对近景视频进行识别；记录经过AI识别的近景视频及其识别结果，训练本地识别模型；本发明对获取到的视频进行主体识别，确定主体的运动轨迹，根据运动轨迹选取部分区域，应用AI进行识别，减少了识别任务量，与此同时，根据识别结果蒸馏出一个本地模型，进一步地提高了识别效率。 The invention relates to the technical field of intelligent supervision, and particularly discloses an AI-based behavior control method and system, and the method comprises the steps: obtaining a main body image at a region entrance, carrying out the recognition of the main body image, determining a main body region, and synchronously extracting main body features; inserting the main body features into a regional feature library, tracking the regional video in real time based on the regional feature library, and determining a main body movement track; positioning an abnormal subject according to the subject movement track, collecting a close-shot video of the abnormal subject based on second precision, and identifying the
Bibliography:Application Number: CN202510690718