- 专利标题: Action recognition system with landmark localization on objects in images using convolutional neural networks
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申请号: US15709897申请日: 2017-09-20
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公开(公告)号: US10331974B2公开(公告)日: 2019-06-25
- 发明人: Muhammad Zeeshan Zia , Quoc-Huy Tran , Xiang Yu , Manmohan Chandraker , Chi Li
- 申请人: NEC Laboratories America, Inc.
- 申请人地址: JP Tokyo
- 专利权人: NEC Corporation
- 当前专利权人: NEC Corporation
- 当前专利权人地址: JP Tokyo
- 代理商 Joseph Kolodka
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/62 ; G06F17/50 ; G06N3/02 ; G06T11/60 ; G06T15/40 ; G05D1/02 ; G08G1/16 ; G06T7/73 ; G06N3/08 ; G06T15/10 ; B60W30/00 ; G08G1/0962 ; G06T7/55 ; G06K9/46
摘要:
An action recognition system and method are provided. The action recognition system includes an image capture device configured to capture an actual image depicting an object. The action recognition system includes a processor configured to render, based on a set of 3D CAD models, synthetic images with corresponding intermediate shape concept labels. The processor is configured to form a multi-layer CNN which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN thereto to generate an image pair including a 2D and 3D geometric structure of the object. The processor is configured to control a device to perform a response action in response to an identification of an action performed by the object, wherein the identification of the action is based on the image pair.
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