公开(公告)号：US07065465B2

公开(公告)日：2006-06-20

申请号：US10395265

申请日：2003-03-25

申请人： Hai-Wen Chen ,  Teresa L. Olson

发明人： Hai-Wen Chen ,  Teresa L. Olson

IPC分类号： G06F19/00 ,  G06F17/40

CPC分类号： G06K9/3241 ,  G06K9/6288 ,  G06K9/6289 ,  G06K9/6293 ,  G06T5/009 ,  G06T5/40 ,  G06T2207/10048

摘要： A multi-sensor data fusion system and method provides adaptive weighting of the contributions from a plurality of sensors in the system using an additive calculation of a sensor reliability function for each sensor. During a predetermined tracking period, data is received from each individual sensor in the system and a sensor reliability function is determined for each sensor based on the SNR (signal-to-noise ratio) for the received data from each sensor. Each sensor reliability function is individually weighted based on the SNR for each sensor and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. Additive calculations are performed on the sensor reliability functions to produce both an absolute and a relative reliability function which provide a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.

公开(公告)号：US20060082439A1

公开(公告)日：2006-04-20

申请号：US11290524

申请日：2005-12-01

申请人： Michael Bazakos ,  David Meyers ,  Vassilios Morellas

发明人： Michael Bazakos ,  David Meyers ,  Vassilios Morellas

IPC分类号： G05B19/00 ,  G06K9/00

CPC分类号： G06K9/00228 ,  G06K9/6289 ,  G07B15/06 ,  G07C9/00087

摘要： A system for providing stand-off biometric verification of a driver of a vehicle while the vehicle is moving and/or a person on foot at a control gate, including an RFID vehicle tag reader, an RFID personal smart card reader and a facial detection and recognition (verification) system. The driver carries a RFID personal smart card that stores personal information of the driver and a face template of the driver. The vehicle carries a RFID vehicle tag that stores information regarding the vehicle. When the vehicle approaches the control gate, the RFID vehicle tag reader reads data from the RFID vehicle tag and the RFID personal tag reader reads data from the RFID personal smart card. The facial detection and verification system scans and reads a facial image for the driver. All the data and facial images detected by the readers are sent to a local computer at the control gate for further processing (final face verification). The local computer at the control gate decodes and retrieves the face template from the data read from the RFID personal smart card.

摘要翻译： 一种用于在车辆移动时提供车辆驾驶员的离线生物特征验证和/或在控制门上的人的行动的系统，包括RFID车辆标签读取器，RFID个人智能卡读取器和面部检测， 识别（验证）系统。 驾驶员携带RFID个人智能卡，其存储驾驶员的个人信息和驾驶员的面部模板。 车辆载有存储关于车辆的信息的RFID车辆标签。 当车辆接近控制门时，RFID车辆标签读取器从RFID车辆标签读取数据，并且RFID个人标签读取器从RFID个人智能卡读取数据。 面部检测和验证系统扫描并读取驾驶员的面部图像。 读取器检测到的所有数据和面部图像都将发送到控制门上的本地计算机进行进一步处理（最终面部验证）。 控制门上的本地计算机从RFID个人智能卡读取的数据解码并检索面部模板。

公开(公告)号：US20030191610A1

公开(公告)日：2003-10-09

申请号：US10395215

申请日：2003-03-25

发明人： Hai-Wen Chen ,  Teresa L. Olson

IPC分类号： G06F019/00

CPC分类号： G06K9/3241 ,  G06K9/6288 ,  G06K9/6289 ,  G06K9/6293 ,  G06T5/009 ,  G06T5/40 ,  G06T2207/10048

摘要： A multi-sensor data fusion system and method provide an additive fusion technique including a modified belief function (algorithm) to adaptively weight the contributions from a plurality of sensors in the system and to produce multiple reliability terms including reliability terms associated with noise for low SNR situations. During a predetermined tracking period, data is received from each individual sensor in the system and a predetermined algorithm is performed to generate sensor reliability functions for each sensor based on each sensor SNR using at least one additional reliability factor associated with noise. Each sensor reliability function may be individually weighted based on the SNR for each sensor and other factors. Additive calculations are performed on the reliability functions to produce at least one system reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of desired objects (e.g., targets and decoys).

摘要翻译： 多传感器数据融合系统和方法提供包括修改的置信函数（算法）的附加融合技术以自适应地对来自系统中的多个传感器的贡献进行加权，并且产生包括与用于低SNR的噪声相关联的可靠性项的多个可靠性项 情况 在预定的跟踪周期期间，从系统中的每个单独的传感器接收数据，并且执行预定算法，以使用至少一个与噪声相关联的附加可靠性因素，基于每个传感器SNR，为每个传感器生成传感器可靠性功能。 每个传感器可靠性函数可以基于每个传感器的SNR和其他因素单独加权。 对可靠性函数进行加法计算，以产生至少一个系统可靠性函数，该系统可靠性函数为与所期望对象的正确分类（识别）相关的多传感器系统提供置信水平（例如，目标和诱饵）。

公开(公告)号：US20030183765A1

公开(公告)日：2003-10-02

申请号：US10395264

申请日：2003-03-25

申请人： LOCKHEED MARTIN CORPORATION

发明人： Hai-Wen Chen ,  Steven R. Frey JR. ,  Teresa L. Olson

IPC分类号： G06T001/00

CPC分类号： G06K9/3241 ,  G06K9/6288 ,  G06K9/6289 ,  G06K9/6293 ,  G06T5/009 ,  G06T5/40 ,  G06T2207/10048

摘要： A target detection and tracking system provides dynamic changing of the integration time (IT) for the system IR sensor within a discrete set of values to maintain a high sensor sensitivity. The system changes the integration time to the same or a different sensor integration time within the discrete set based on the image data output from the sensor satisfying pre-determined system parameter thresholds. The system includes an IT-related saturation prediction function allowing the system to avoid unnecessary system saturation when determining whether an IT change should be made. The tracking portion of the system provides tracking feedback allowing target objects with a low sensor signature to be detected without being obscured by nearby uninterested objects that produce system saturation.

摘要翻译： 目标检测和跟踪系统提供系统红外传感器在一组离散值内的积分时间（IT）的动态变化，以保持较高的传感器灵敏度。 基于从满足预定系统参数阈值的传感器输出的图像数据，系统将积分时间改变为离散组内相同或不同的传感器积分时间。 该系统包括IT相关的饱和预测功能，允许系统在确定是否应进行IT更改时避免不必要的系统饱和。 系统的跟踪部分提供跟踪反馈，允许检测到具有低传感器签名的目标对象，而不会被产生系统饱和的附近不感兴趣的对象遮蔽。

公开(公告)号：US20230408476A1

公开(公告)日：2023-12-21

申请号：US17664802

申请日：2022-05-24

申请人： Honeywell International Inc.

发明人： Agnel Anto ,  Surya Lakshmi Subba Rao Pilla ,  Priyanka Sanjay Vispute

IPC分类号： G01N33/00 ,  G06K9/62

CPC分类号： G01N33/0075 ,  G01N33/0063 ,  G01N2033/0068 ,  G06K9/6289 ,  G06K9/6277

摘要： Embodiments utilize captured data, such as gas data and/or flame/heat data, from sensors in an environment to generate a data-constructed image for use in predicting explosion likelihood within an environment. Some embodiments utilize gas and flame data to generate the data-constructed image that is processable via one or more model(s) to determine whether the environment includes one or more sub-regions at risk of explosion. Some embodiments receive a plurality of gas sensor data and a plurality of flame sensor data, generate a data-constructed image including a plurality of channels based at least in part on such data, and generate explosion prediction data by applying at least a portion of the data-constructed image to a prediction model.

公开(公告)号：US20230282210A1

公开(公告)日：2023-09-07

申请号：US17685716

申请日：2022-03-03

申请人： GM Global Technology Operations LLC

发明人： Jacob Alan Bond ,  Hannah Elizabeth Wagner ,  Joseph F. Szczerba ,  Alan D. Hejl

IPC分类号： G10L15/22 ,  G10L15/16 ,  G10L15/25 ,  G06T7/20 ,  G06K9/62 ,  B60W40/08 ,  G06N3/08

CPC分类号： G10L15/22 ,  B60W40/08 ,  G06K9/6289 ,  G06N3/08 ,  G06T7/20 ,  G10L15/16 ,  G10L15/25 ,  B60W2040/089 ,  B60W2420/42 ,  B60W2420/54 ,  B60W2540/21 ,  B60W2540/221 ,  G06T2207/30201 ,  G10L2015/223

摘要： A speech recognition method includes receiving audible data and user data. The audible data includes information about an utterance by the user. The user data includes information about movements by the user. The method further includes fusing the audible data and the user data to obtain fused data and determining at least one spoken word of the utterance based on the fused data.

公开(公告)号：US20230162502A1

公开(公告)日：2023-05-25

申请号：US17531568

申请日：2021-11-19

申请人： Adobe Inc.

发明人： Shivam Nalin PATEL ,  Kshitiz GARG ,  Han GUO ,  Ali AMINIAN ,  Aashish MISRAA

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06F40/205

CPC分类号： G06K9/00765 ,  G06K9/6289 ,  G06K9/00744 ,  G06K9/6218 ,  G06F40/205 ,  G06K9/6256

摘要： Embodiments are disclosed for receiving a user input and an input video comprising multiple frames. The method may include extracting a text feature from the user input. The method may further include extracting a plurality of image features from the frames. The method may further include identifying one or more keyframes from the frames that include the object. The method may further include clustering one or more groups of the one or more keyframes. The method may further include generating a plurality of segmentation masks for each group. The method may further include determining a set of reference masks corresponding to the user input and the object. The method may further include generating a set of fusion masks by combining the plurality of segmentation masks and the set of reference masks. The method may further include propagating the set of fusion masks and outputting a final set of masks.

公开(公告)号：US20230145313A1

公开(公告)日：2023-05-11

申请号：US17522728

申请日：2021-11-09

申请人： SKOOPIN INC.

发明人： Fengmin GONG ,  Weijun ZHANG ,  Min FAN ,  Jun DU

IPC分类号： A23L33/00 ,  G06K9/62 ,  G06N20/20 ,  H04L29/08

CPC分类号： A23L33/30 ,  G06K9/6289 ,  G06K9/6256 ,  G06N20/20 ,  H04L67/22 ,  H04L67/306

摘要： Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for automated foodservice are described. An example method includes receiving one or more images from one or more cameras capturing a food container comprising a plurality of compartments; determining, using a first machine learning model based on the one or more images, a user action comprising a user taking food from a first compartment of the plurality of compartments; receiving a plurality of pieces of weight sensor data from a plurality of weight sensors coupled to a frame hosting the food container; determining, using a second machine learning model based on the plurality of pieces of weight sensor data, a second compartment of the plurality of compartments; in response to the first compartment being the same as the second compartment, displaying the weight and the food information of the food taken by the user.

公开(公告)号：US20190138807A1

公开(公告)日：2019-05-09

申请号：US16240120

申请日：2019-01-04

申请人： FotoNation Limited

发明人： Shejin THAVALENGAL

IPC分类号： G06K9/00 ,  G06K9/62 ,  H04N9/04 ,  G06T5/00 ,  H04N5/04 ,  H04N5/33

CPC分类号： G06K9/00617 ,  G06K9/00906 ,  G06K9/6289 ,  G06T5/00 ,  H04N5/04 ,  H04N5/332 ,  H04N9/045

摘要： An approach for an iris liveness detection is provided. A plurality of image pairs is acquired using one or more image sensors of a mobile device. A particular image pair is selected from the plurality of image pairs, and a hyperspectral image is generated for the particular image pair. Based on, at least in part, the hyperspectral image, a particular feature vector for the eye-iris region depicted in the particular image pair is generated, and one or more trained model feature vectors generated for facial features of a particular user of the device are retrieved. Based on, at least in part, the particular feature vector and the one or more trained model feature vectors, a distance metric is determined and compared with a threshold. If the distance metric exceeds the threshold, then a first message indicating that the plurality of image pairs fails to depict the particular user is generated. It is also determined whether at least one characteristic, of one or more characteristics determined for NIR images, changes from image-to-image by at least a second threshold. If so, then a second message is generated to indicate that the plurality of image pairs depicts the particular user of a mobile device. The second message may also indicate that an authentication of an owner to the mobile device was successful. Otherwise, a third message is generated to indicate that a presentation attack on the mobile device is in progress.

公开(公告)号：US20190051191A1

公开(公告)日：2019-02-14

申请号：US15675591

申请日：2017-08-11

申请人： The Boeing Company

发明人： Aaron Y. Mosher ,  Charles B. Spinelli ,  Morgan E. Cook

IPC分类号： G08G5/04 ,  G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  B64C39/02 ,  G08G5/00

CPC分类号： G08G5/045 ,  B64C39/024 ,  B64C2201/123 ,  B64C2201/127 ,  B64C2201/141 ,  G06K9/0063 ,  G06K9/00805 ,  G06K9/2018 ,  G06K9/209 ,  G06K9/34 ,  G06K9/6269 ,  G06K9/6289 ,  G06K2009/4666 ,  G08G5/0013 ,  G08G5/0021 ,  G08G5/0069

摘要： In general, certain embodiments of the present disclosure provide a detection and avoidance system for a vehicle. According to various embodiments, the detection and avoidance system comprises an imaging unit configured to obtain a first image of a field of view at a first camera channel. The first camera channel filters radiation at a wavelength, where one or more objects in the field of view do not emit radiation at the wavelength. The detection and avoidance system further comprises a processing unit configured to receive the first image from the imaging unit and to detect one or more objects therein, as well as a notifying unit configured to communicate collision hazard information determined based upon the detected one or more objects to a pilot control system of the vehicle. Accordingly, the pilot control maneuvers the vehicle to avoid the detected objects.