- 专利标题: METHODS AND SYSTEMS TO PREDICT ACTIVITY IN A SEQUENCE OF IMAGES
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申请号: US16929051申请日: 2020-07-14
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公开(公告)号: US20220019776A1公开(公告)日: 2022-01-20
- 发明人: Alexandru MALAESCU , Dan FILIP , Mihai CIUC , Liviu-Cristian DUTU , Madalin DUMITRU-GUZU
- 申请人: FotoNation Limited
- 申请人地址: IE Galway
- 专利权人: FotoNation Limited
- 当前专利权人: FotoNation Limited
- 当前专利权人地址: IE Galway
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/62 ; G06T7/00
摘要:
A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weighting for the image; normalizing the determined weightings to form a normalized weighting for each image in the sequence of images; for each image in the sequence of images, combining the associated normalized weighting and associated feature block to form a weighted feature block; passing a combination of the weighted feature blocks through a predictive module to determine an activity in the sequence of images; and outputting a result comprising the determined activity in the sequence of images.
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