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公开(公告)号：US09449229B1
公开(公告)日：2016-09-20
申请号：US14738034
申请日：2015-06-12
Applicant: GOOGLE INC.
Inventor： Jason N. Laska , Wei Hua , Rizwan Ahmed Chaudhry , Srivatsan Varadharajan , George Alban Heitz, III
CPC classification number: G06K9/00718 , G06F3/0482 , G06F3/04847 , G06F3/04855 , G06F3/04886 , G06K9/00765 , G06K9/00771 , G06K9/6267 , G06K2009/00738 , G06T7/20 , G08B13/19604 , G08B13/19606 , G08B13/19608 , G08B13/19669 , G08B13/19684 , G11B27/3027 , G11B27/34 , H04N5/144 , H04N5/77 , H04N7/18 , H04N9/8205 , H04N21/4334 , H04N21/4335 , H04N21/44008 , H04N21/8133 , H04W4/80
Abstract: The various embodiments described herein include methods, devices, and systems for categorizing motion event candidates. In one aspect, a method includes receiving and processing video frames that include a motion event candidate. The processing includes: (a) obtaining background factors corresponding to a background in at least a subset of the video frames; (b) utilizing the background factors to identify one or more motion entities; (c) for each motion entity, obtaining one or more representative motion vectors based on a motion track of the respective motion entity; (d) identifying one or more features in at least a subset of the video frames; and (e) aggregating the background factors, the representative motion vectors, and the features to generate motion features. The method further includes sending the motion features to an event categorizer, where the event categorizer assigns a motion event category to the motion event candidate based on the received motion features.
Abstract translation: 本文描述的各种实施例包括用于对运动事件候选进行分类的方法，装置和系统。 一方面，一种方法包括接收和处理包括运动事件候选的视频帧。 该处理包括：（a）获得与视频帧的至少一个子集中的背景对应的背景因子; （b）利用背景因素来识别一个或多个运动实体; （c）对于每个运动实体，基于相应运动实体的运动轨迹获得一个或多个代表运动矢量; （d）识别视频帧的至少一个子集中的一个或多个特征; 和（e）聚集背景因子，代表运动矢量和特征以产生运动特征。 该方法还包括将运动特征发送到事件分类器，其中事件分类器基于所接收的运动特征向运动事件候选者分配运动事件类别。
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公开(公告)号：US20180349684A1
公开(公告)日：2018-12-06
申请号：US15676848
申请日：2017-08-14
Applicant: GOOGLE INC.
Inventor： Akshay R. Bapat , George Alban Heitz, III , Rizwan Ahmed Chaudhry , Navneet Dalal , James Edward Stewart , Jennifer Bush , Joe Delone Venters , Kara Gates , Timothy Butler , Yohannes Kifle , Anton Bastov
CPC classification number: G06K9/6218 , G06F16/45 , G06K9/00228 , G06K9/00268 , G06K9/00288 , G06K9/00362 , G06K9/00744 , G06K2009/00738 , G08B13/19645 , G08B13/1966 , G08B13/19663 , G08B13/19697 , H04N5/23219 , H04N7/18
Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.
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公开(公告)号：US20180012463A1
公开(公告)日：2018-01-11
申请号：US15207459
申请日：2016-07-11
Applicant: GOOGLE INC.
IPC: G08B13/196 , G06K9/00
CPC classification number: G06K9/00765 , G06K9/00369 , G06K9/00771 , G06K9/46 , G06K9/6219 , G06K2009/00738 , G06T7/246 , G06T2207/10016 , G06T2207/20016 , G06T2207/30196 , H04N7/18 , H04N7/181
Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) obtaining a video feed, the video feed comprising a plurality of images; and, (2) for each image, analyzing the image to determine whether the image includes a person, the analyzing including: (a) determining that the image includes a potential instance of a person by analyzing the image at a first resolution; (b) in accordance with the determination that the image includes the potential instance, denoting a region around the potential instance; (c) determining whether the region includes an instance of the person by analyzing the region at a second resolution, greater than the first resolution; and (d) in accordance with a determination that the region includes the instance of the person, determining that the image includes the person.
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