Title:
アクティビティ認識のための量子化された遷移変化の検出
Document Type and Number:
Japanese Patent JP7285973
Kind Code:
B2
Abstract:
A system for recognizing human activity from a video stream includes a classifier for classifying an image frame of the video steam in one or more classes and generating a class probability vector for the image frame based on the classification. The system further includes a data filtering and binarization module for filtering and binarizing each probability value of the class probability vector based on a pre-defined probability threshold value. The system furthermore includes a compressed word composition module for determining one or more transitions of one or more classes in consecutive image frames of the video stream and generating a sequence of compressed words based on the determined one or more transitions. The system furthermore includes a sequence dependent classifier for extracting one or more user actions by analyzing the sequence of compressed words to and recognizing human activity therefrom.
Inventors:
Dampe Skull
Cosmin Sernazanu-Gravan
Vasile Guy
Cosmin Sernazanu-Gravan
Vasile Guy
Application Number:
JP2021578060A
Publication Date:
June 02, 2023
Filing Date:
May 12, 2020
Export Citation:
Assignee:
Everseen Limited
International Classes:
G06T7/00; G06V10/764; G06V10/771; G06V20/62
Domestic Patent References:
| JP201345433A | ||||
| JP2012069103A |
Foreign References:
| US20140294360 | ||||
| US20120320199 |
Attorney, Agent or Firm:
Patent Attorney Tani / Abe Patent Office