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公开(公告)号：US20240362963A1
公开(公告)日：2024-10-31
申请号：US18765869
申请日：2024-07-08
申请人： NEC Corporation
发明人： Junichi INOUE
CPC分类号： G07C9/15 , G06V20/53 , G06V40/171 , G06V40/172 , G07C9/37 , G07C9/38 , G06V2201/07
摘要： Provided is a gate device that accurately determines a user who is an authentication target. This gate device is provided with an acquisition unit, a setting unit, and a gate control unit. The acquisition unit acquires an image from a camera. When a plurality of users are included in the acquired image, the setting unit specifies a user on the front row among the plurality of users in accordance with the respective positions of the plurality of users in the image, and sets the specified user as an authentication target person. The gate control unit controls a gate on the basis of a authentication result of the authentication target person.
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公开(公告)号：US20240362930A1
公开(公告)日：2024-10-31
申请号：US18139971
申请日：2023-04-27
申请人： InCarEye Ltd
发明人： Shlomi OPHIR
CPC分类号： G06V20/597 , G06T7/20 , G06V20/52 , G06V40/20 , G06T2207/20044 , G06V2201/07
摘要： There is provided a computer implemented method of monitoring an occupant of a vehicle, comprising: computing a target movement vector set of a skeleton representation from a target video captured by a camera oriented towards a side of the occupant, feeding the target movement vector set of the target skeleton representation into a personalized ML model, obtaining a likelihood of the occupant about to perform an unsafe action as an outcome of the personalized ML model, and generating a feedback by a user interface device in response to the outcome, the feedback generated prior to the occupant performing the unsafe action, thereby preventing the occupant from performing the unsafe action, wherein the personalized ML model is trained on sequences of personalized motions performed by the occupant prior to the performance of the unsafe action and ground truth labels indicating the unsafe action.
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公开(公告)号：US20240362922A1
公开(公告)日：2024-10-31
申请号：US18309663
申请日：2023-04-28
申请人： TORC Robotics, Inc.
发明人： Tianyi YANG , Dalong LI , Alex SMITH
IPC分类号： G06V20/58 , G06T7/20 , G06V10/764 , G06V20/56
CPC分类号： G06V20/58 , G06T7/20 , G06V10/764 , G06V20/588 , G06T2207/30241 , G06V2201/07
摘要： Aspects of this technical solution can include identifying, by a processor coupled to non-transitory memory, a plurality of bounding boxes for one or more objects depicted in each image of a sequence of images captured during operation of an autonomous vehicle, allocating, by the processor and based on corresponding positions of the bounding boxes in each image and corresponding time stamps, one or more of the bounding boxes to one or more tracking identifiers each indicating trajectories of corresponding objects, generating, by the processor and based on the time stamps and the bounding boxes allocated to each of the tracking identifiers, one or more tracking images for each of the tracking identifiers, each of the tracking images including visual indications of the time stamps, and training, by the processor and based on the tracking images, an artificial intelligence model to output an indication of a type of trajectory.
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4.发明公开公开(公告)号：US20240362752A1
公开(公告)日：2024-10-31
申请号：US18644683
申请日：2024-04-24
发明人： TAKUYA TOYODA
CPC分类号： G06T5/50 , G06V10/25 , G06V40/28 , G06T2207/20044 , G06T2207/20221 , G06T2207/30196 , G06V2201/07
摘要： An information processing apparatus that makes it possible to see information in an easily understandable manner when this information is superimposed onto a video image has at least one memory and at least one processor. The at least one memory and the at least one processor are configured to extract a region of a human in an image; superimpose predetermined superimposition information onto the image; determine whether or not the human is performing a predetermined action, and to output determination results; extract a region of the predetermined information that overlaps with the region of the human as an overlapping region based on the determination results, the region of the human, and the predetermined information; and change a transparency of at least a portion of the predetermined information such that the transparency increases according to the overlapping region.
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公开(公告)号：US12131497B2
公开(公告)日：2024-10-29
申请号：US18266737
申请日：2022-01-31
发明人： Fangyi Chen , Shayeree Sarkar , Marios Savvides
IPC分类号： G06V10/774 , G06T7/70
CPC分类号： G06T7/70 , G06V10/774 , G06V2201/07
摘要： Disclosed herein is an improved method for identifying images containing objects-of-interest from a large set of images. The method comprises mixing two or more of the images to create a grouped image and exposing the grouped image to an object detector trained on grouped images to make an initial determination that the grouped image was formed from at least one image containing an object-of-interest. The images which formed the grouped image are then exposed to regular object detectors to determine a classification of the object-of-interest.
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公开(公告)号：US20240355107A1
公开(公告)日：2024-10-24
申请号：US18684883
申请日：2021-08-23
申请人： Google LLC
发明人： Orly Liba , Michael Garth Milne , Navin Padman Sarma , Doron Kukliansky , Huizhong Chen , Yael Pritch Knaan
CPC分类号： G06V10/82 , G06T5/60 , G06V10/462 , G06T2207/20084 , G06T2207/20132 , G06V2201/07 , G06V2201/10
摘要： A method includes receiving training data comprising a plurality of images. one or more identified objects in each of the plurality of images. and a detection score associated with each of the one or more identified objects. wherein the detection score for an object is indicative of a degree to which a portion of an image corresponds to the object. The method also includes training a neural network based on the training data to predict a distractor score for at least one object of the one or more identified objects in an input image, wherein the at least one object is selected based on an associated detection score, and wherein the distractor score for the at least one object is indicative of a perceived visual distraction caused by a presence of the at least one object in the input image. The method additionally includes outputting the trained neural network.
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公开(公告)号：US12125215B1
公开(公告)日：2024-10-22
申请号：US18678781
申请日：2024-05-30
申请人： NODAR Inc.
CPC分类号： G06T7/20 , G06T5/70 , G06T17/00 , G06V20/56 , G06V2201/07
摘要： A method of detecting and tracking objects includes (a) obtaining point-cloud data captured by camera sensors on a vehicle travelling along a road surface, (b) compressing the point-cloud data to bird's-eye-view (BEV) data representing a view along a BEV direction oriented approximately perpendicular to the road surface, the BEV data representing the objects on a BEV plane oriented approximately parallel the road surface, (c) establishing a grid of cells for the BEV plane, (d) for each cell, determining occupancy values of the cell for a time tn and performing noise reduction by assigning weights to the cell based on predicted occupancy values of the cell for the time tn and on occupancy values of the cell for a previous time tn−1, and (e) outputting to a controller of the vehicle, in real time or nearly real time, an occupancy evidence map of objects in the vehicle's environment.
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公开(公告)号：US20240346663A1
公开(公告)日：2024-10-17
申请号：US18613206
申请日：2024-03-22
申请人： Fujitsu Limited
IPC分类号： G06T7/20 , G06V10/44 , G06V10/762 , G06V20/70
CPC分类号： G06T7/20 , G06V10/44 , G06V10/762 , G06V20/70 , G06V2201/07
摘要： The present disclosure relates to a method, device and storage medium for improving multi-object tracking. According to an embodiment, the method comprises: performing a split operation on a tracklet provided for one object by a multi-object tracking model. The split operation comprises: determining an appearance feature sequence of the tracklet; determining a clustering label set of the appearance feature sequence; determining an image block label sequence; determining a fragment label sequence corresponding to continuous fragments, having the same clustering labels, in the image block label sequence; in a case where a length of the fragment label sequence is greater than the number of types of the clustering labels in the clustering label set, updating the image block label sequence and the fragment label sequence by performing an update operation; and splitting the tracklet based on the updated image block label sequence. The method may further comprise a merge operation.
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公开(公告)号：US20240333873A1
公开(公告)日：2024-10-03
申请号：US18128045
申请日：2023-03-29
申请人： Adeia Guides Inc.
发明人： Christian Gehrmann , Tao Chen
摘要： Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and/or stored by one or more devices participating in the video conference.
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10.发明公开公开(公告)号：US20240331355A1
公开(公告)日：2024-10-03
申请号：US18579514
申请日：2022-04-27
发明人： Ou KONG , Yidong LIU , Jun WANG
IPC分类号： G06V10/764 , G06T5/20 , G06V10/771
CPC分类号： G06V10/764 , G06T5/20 , G06V10/771 , G06T2207/20084 , G06V2201/07
摘要： The present disclosure provides a synchronous processing method, system, storage medium and terminal for image classification and object detection. The method includes the following steps: inputting the image into a neural network to perform a first convolution operation to obtain a first feature map; performing sequentially a second convolution operation, a pooling operation and a nonlinear function activation operation on the first feature map to obtain a second feature map, obtaining the object detection result of the image based on the second feature map; performing in sequence a global average pooling operation and a full connection operation on the first feature map to obtain the classification result of the image. The synchronous processing method, system, storage medium and terminal for image classification and object detection of the present disclosure simultaneously perform image classification and object detection through the same neural network, thus effectively reducing system load.
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