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公开(公告)号：US20190138814A1
公开(公告)日：2019-05-09
申请号：US16115630
申请日：2018-08-29
Applicant: NEC Laboratories America, Inc.
Inventor： Samuel Schulter , Wongun Choi , Tuan Hung Vu , Manmohan Chandraker
CPC classification number: G06T7/73 , G06K9/00744 , G06K9/00979 , G06K9/6232 , G06K9/629 , G06T7/20 , G06T7/269 , G06T2207/10016 , G06T2207/20016 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
Abstract: A computer-implemented method, system, and computer program product are provided for object detection utilizing an online flow guided memory network. The method includes receiving a plurality of videos, each of the plurality of videos including a plurality of frames. The method also includes generating, with a feature extraction network, a frame feature map for a current frame of the plurality of frames. The method additionally includes aggregating a memory feature map from the frame feature map and previous memory feature maps from previous frames on a plurality of time axes, with the plurality of time axes including a first time axis at a first frame increment and a second time axis at a second frame increment. The method further includes predicting, with a task network, an object from the memory feature map. The method also includes controlling an operation of a processor-based machine to react in accordance with the object.
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公开(公告)号：US10832440B2
公开(公告)日：2020-11-10
申请号：US16115630
申请日：2018-08-29
Applicant: NEC Laboratories America, Inc.
Inventor： Samuel Schulter , Wongun Choi , Tuan Hung Vu , Manmohan Chandraker
Abstract: A computer-implemented method, system, and computer program product are provided for object detection utilizing an online flow guided memory network. The method includes receiving a plurality of videos, each of the plurality of videos including a plurality of frames. The method also includes generating, with a feature extraction network, a frame feature map for a current frame of the plurality of frames. The method additionally includes aggregating a memory feature map from the frame feature map and previous memory feature maps from previous frames on a plurality of time axes, with the plurality of time axes including a first time axis at a first frame increment and a second time axis at a second frame increment. The method further includes predicting, with a task network, an object from the memory feature map. The method also includes controlling an operation of a processor-based machine to react in accordance with the object.
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公开(公告)号：US10733756B2
公开(公告)日：2020-08-04
申请号：US16115620
申请日：2018-08-29
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Samuel Schulter , Tuan Hung Vu , Manmohan Chandraker
Abstract: A computer-implemented method, system, and computer program product are provided for object detection utilizing an online flow guided memory network. The method includes receiving, by a processor, a plurality of videos, each of the plurality of videos including a plurality of frames. The method also includes generating, by the processor with a feature extraction network, a frame feature map for a current frame of the plurality of frames. The method additionally includes determining, by the processor, a memory feature map from the frame feature map and a previous memory feature map from a previous frame by warping the previous memory feature map. The method further includes predicting, by the processor with a task network, an object from the memory feature map. The method also includes controlling an operation of a processor-based machine to react in accordance with the object.
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公开(公告)号：US20190139257A1
公开(公告)日：2019-05-09
申请号：US16115620
申请日：2018-08-29
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Samuel Schulter , Tuan Hung Vu , Manmohan Chandraker
IPC: G06T7/73
CPC classification number: G06T7/73 , G06K9/00744 , G06K9/00979 , G06K9/6232 , G06K9/629 , G06T7/20 , G06T7/269 , G06T2207/10016 , G06T2207/20016 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
Abstract: A computer-implemented method, system, and computer program product are provided for object detection utilizing an online flow guided memory network. The method includes receiving, by a processor, a plurality of videos, each of the plurality of videos including a plurality of frames. The method also includes generating, by the processor with a feature extraction network, a frame feature map for a current frame of the plurality of frames. The method additionally includes determining, by the processor, a memory feature map from the frame feature map and a previous memory feature map from a previous frame by warping the previous memory feature map. The method further includes predicting, by the processor with a task network, an object from the memory feature map. The method also includes controlling an operation of a processor-based machine to react in accordance with the object.
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