The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 08, 2021
Filed:
Jun. 13, 2016
Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, CN;
Jiale Fang, Hangzhou, CN;
Peng Wang, Hangzhou, CN;
Bin Guo, Hangzhou, CN;
Xi Chen, Hangzhou, CN;
Renguang Feng, Hangzhou, CN;
HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD., Zhejiang, CN;
Abstract
Embodiments of the present application provide a method and apparatus for updating an online self-learning event detection model. The method includes: presenting, when at least one target alerting event generated by the current event detection model is detected, to a user the at least one target alerting event, so that the user provides an event result for each target alerting event based on the at least one presented target alerting event; obtaining the event result for each target alerting event provided by the user based on the at least one presented target alerting event; determining whether a target alerting event for which an event result has been provided by the user satisfies a predetermined update condition, and if so, training and obtaining a target event detection model based on at least one target alerting event for which an event result has been provided by the user and corresponding event result, and predetermined training samples; and replacing the current event detection model with the target event detection model. By means of the method and apparatus according to the present application, the current event detection model may be continually updated, and thus improving the accuracy of the online learning.