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    AUTOMATED VEHICULAR ACCIDENT DETECTION
    3.
    发明申请
    AUTOMATED VEHICULAR ACCIDENT DETECTION 有权
    自动车辆事故检测

    公开(公告)号：US20160358081A1

    公开(公告)日：2016-12-08

    申请号：US14732836

    申请日：2015-06-08

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Karl J. Cama ,  Norbert Herman ,  Shubhadip Ray

    IPC分类号： G06N5/04 ,  G06F17/30 ,  G01S19/13

    CPC分类号： G06N5/04 ,  B60W40/00 ,  G01S19/14 ,  G06F17/30241 ,  G06K9/00791 ,  G06K9/00832 ,  G06K9/626 ,  G06N3/08 ,  G06Q40/08 ,  G06Q50/30 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/0141 ,  G08G1/04 ,  G08G1/048 ,  G08G1/052 ,  G08G1/093 ,  G08G1/09626

    摘要： A vehicle accident detection method and system is provided. The method includes receiving location coordinates associated with a location of an occuring vehicular accident. Data associated with possible causes of the vehicular accident is received from sensors. Traffic related rules associated with a geographical location are retrieved and analyzed with respect to the data. Parameters associated with at least one vehicle involved in the vehicular accident and a possible cause are determined via execution of programming logic and transmitted to additional systems. The possible cause for the vehicular accident is determined from all possible causes based on matching current and historical accident circumstances. Additionally, weighting factors may be available and adjusted over time for accurate accident detection. A possible cause comprising a greatest weighting factor may be used to identify a most likely cause.

    摘要翻译： 提供车辆事故检测方法和系统。 该方法包括接收与发生的车辆事故的位置相关联的位置坐标。 与传感器接收到与车辆事故可能原因有关的数据。 与地理位置相关联的交通相关规则相对于数据被检索和分析。 与涉及车辆事故的至少一辆车辆相关联的参数和可能的原因通过执行编程逻辑来确定并传送到附加系统。 车辆事故的可能原因是根据当前和历史事故情况的一切可能原因确定的。 另外，可以随时间调整加权因子以进行准确的事故检测。 可能使用包含最大加权因子的可能原因来识别最可能的原因。

    END-TO-END VISUAL RECOGNITION SYSTEM AND METHODS
    4.
    发明申请
    END-TO-END VISUAL RECOGNITION SYSTEM AND METHODS 有权
    端到端视觉识别系统和方法

    公开(公告)号：US20140301635A1

    公开(公告)日：2014-10-09

    申请号：US14245159

    申请日：2014-04-04

    申请人： THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    发明人： Stefano Soatto ,  Taehee Lee

    IPC分类号： G06K9/62

    CPC分类号： G06K9/626 ,  G06K9/00671 ,  G06K9/00744 ,  G06K9/4671 ,  G06K9/6255 ,  G06T7/207 ,  G06T7/246

    摘要： We describe an end-to-end visual recognition system, where “end-to-end” refers to the ability of the system of performing all aspects of the system, from the construction of “maps” of scenes, or “models” of objects from training data, to the determination of the class, identity, location and other inferred parameters from test data. Our visual recognition system is capable of operating on a mobile hand-held device, such as a mobile phone, tablet or other portable device equipped with sensing and computing power. Our system employs a video based feature descriptor, and we characterize its invariance and discriminative properties. Feature selection and tracking are performed in real-time, and used to train a template-based classifier during a capture phase prompted by the user. During normal operation, the system scores objects in the field of view based on their ranking.

    摘要翻译： 我们描述一种端到端的视觉识别系统，其中“端对端”是指系统执行系统的所有方面的能力，从构建场景的“地图”或“场景”的“模型” 从训练数据的对象，到测试数据的类，身份，位置等推测参数的确定。 我们的视觉识别系统能够在配备有感测和计算能力的移动手持设备（例如移动电话，平板电脑或其他便携式设备）上操作。 我们的系统采用基于视频的特征描述符，我们描述其不变性和辨别性质。 功能选择和跟踪是实时执行的，用于在用户提示的捕获阶段训练基于模板的分类器。 在正常操作期间，系统根据其排名对视场中的对象进行分数。

    Method of pre-analysis of a machine-readable form image
    5.
    发明授权
    Method of pre-analysis of a machine-readable form image 有权
    机器可读形式图像的预分析方法

    公开(公告)号：US08805093B2

    公开(公告)日：2014-08-12

    申请号：US12977016

    申请日：2010-12-22

    申请人： Konstantin Zuev ,  Irina Filimonova ,  Sergey Zlobin

    发明人： Konstantin Zuev ,  Irina Filimonova ,  Sergey Zlobin

    IPC分类号： G06K9/62 ,  G06K9/00

    CPC分类号： G06K9/00469 ,  G06K9/00449 ,  G06K9/46 ,  G06K9/6202 ,  G06K9/626 ,  G06K2209/01

    摘要： In one embodiment, the invention provides a method for a machine to perform machine-readable form pre-recognition analysis. The method comprises preliminarily assigning at least one graphic image in a form for identification of form type, preliminarily creating at least one model of the said graphic image for identification of the form type, parsing a form image into regions, determining an image form type for the form image, comprising: (a) detecting on the form image at least one of said graphic images for identification of the form type, (b) performing a primary identification of the form image type based on a comparison of the detected graphic image with the said model, and(c) performing a profound analysis using a supplementary data said-primary identification results in multiple possibilities for the form image type.

    摘要翻译： 在一个实施例中，本发明提供了一种用于机器执行机器可读形式预识别分析的方法。 该方法包括以形式类型的形式预先分配至少一个图形图像，预先创建所述图形图像的至少一个模型以识别形式类型，将形式图像解析为区域，确定图像形式类型 所述形式图像包括：（a）在形式图像上检测至少一个所述图形图像以识别形式类型，（b）基于检测到的图形图像与 所述模型，以及（c）使用补充数据进行深刻分析，所述主要识别导致形式图像类型的多种可能性。

    End-to end visual recognition system and methods
    6.
    发明授权
    End-to end visual recognition system and methods 有权
    端到端视觉识别系统和方法

    公开(公告)号：US08717437B2

    公开(公告)日：2014-05-06

    申请号：US13735703

    申请日：2013-01-07

    申请人： The Regents of the University of California

    发明人： Stefano Soatto ,  Taehee Lee

    IPC分类号： H04N9/47

    CPC分类号： G06K9/626 ,  G06K9/00671 ,  G06K9/00744 ,  G06K9/4671 ,  G06K9/6255 ,  G06T7/207 ,  G06T7/246

    摘要： We describe an end-to-end visual recognition system, where “end-to-end” refers to the ability of the system of performing all aspects of the system, from the construction of “maps” of scenes, or “models” of objects from training data, to the determination of the class, identity, location and other inferred parameters from test data. Our visual recognition system is capable of operating on a mobile hand-held device, such as a mobile phone, tablet or other portable device equipped with sensing and computing power. Our system employs a video based feature descriptor, and we characterize its invariance and discriminative properties. Feature selection and tracking are performed in real-time, and used to train a template-based classifier during a capture phase prompted by the user. During normal operation, the system scores objects in the field of view based on their ranking.

    摘要翻译： 我们描述一种端到端的视觉识别系统，其中“端对端”是指系统执行系统的所有方面的能力，从构建场景的“地图”或“场景”的“模型” 从训练数据的对象，到测试数据的类，身份，位置等推测参数的确定。 我们的视觉识别系统能够在配备有感测和计算能力的移动手持设备（例如移动电话，平板电脑或其他便携式设备）上操作。 我们的系统采用基于视频的特征描述符，我们描述其不变性和辨别性质。 功能选择和跟踪是实时执行的，用于在用户提示的捕获阶段训练基于模板的分类器。 在正常操作期间，系统根据其排名对视场中的对象进行分数。

    END-TO-END VISUAL RECOGNITION SYSTEM AND METHODS
    7.
    发明申请
    END-TO-END VISUAL RECOGNITION SYSTEM AND METHODS 有权
    端到端视觉识别系统和方法

    公开(公告)号：US20130215264A1

    公开(公告)日：2013-08-22

    申请号：US13735703

    申请日：2013-01-07

    申请人： THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    发明人： Stefano Soatto ,  Taehee Lee

    IPC分类号： G06K9/00

    CPC分类号： G06K9/626 ,  G06K9/00671 ,  G06K9/00744 ,  G06K9/4671 ,  G06K9/6255 ,  G06T7/207 ,  G06T7/246

    摘要： We describe an end-to-end visual recognition system, where “end-to-end” refers to the ability of the system of performing all aspects of the system, from the construction of “maps” of scenes, or “models” of objects from training data, to the determination of the class, identity, location and other inferred parameters from test data. Our visual recognition system is capable of operating on a mobile hand-held device, such as a mobile phone, tablet or other portable device equipped with sensing and computing power. Our system employs a video based feature descriptor, and we characterize its invariance and discriminative properties. Feature selection and tracking are performed in real-time, and used to train a template-based classifier during a capture phase prompted by the user. During normal operation, the system scores objects in the field of view based on their ranking.

    摘要翻译： 我们描述一种端到端的视觉识别系统，其中“端对端”是指系统执行系统的所有方面的能力，从构建场景的“地图”或“场景”的“模型” 从训练数据的对象，到测试数据的类，身份，位置等推测参数的确定。 我们的视觉识别系统能够在配备有感测和计算能力的移动手持设备（例如移动电话，平板电脑或其他便携式设备）上操作。 我们的系统采用基于视频的特征描述符，我们描述其不变性和辨别性质。 功能选择和跟踪是实时执行的，用于在用户提示的捕获阶段训练基于模板的分类器。 在正常操作期间，系统根据其排名对视场中的对象进行分数。

    Sensor-Based Mobile Search, Related Methods and Systems
    8.
    发明申请
    Sensor-Based Mobile Search, Related Methods and Systems 有权
    基于传感器的移动搜索，相关方法和系统

    公开(公告)号：US20120218436A1

    公开(公告)日：2012-08-30

    申请号：US13465620

    申请日：2012-05-07

    申请人： Geoffrey B. Rhoads ,  Tony F. Rodriguez ,  Gilbert B. Shaw ,  Bruce L. Davis ,  William Y. Conwell

    发明人： Geoffrey B. Rhoads ,  Tony F. Rodriguez ,  Gilbert B. Shaw ,  Bruce L. Davis ,  William Y. Conwell

    IPC分类号： H04N5/228

    CPC分类号： G01B11/14 ,  G01C21/3629 ,  G06F3/011 ,  G06F3/016 ,  G06K9/00523 ,  G06K9/00993 ,  G06K9/626 ,  G06Q30/02 ,  H04M2250/12 ,  H04M2250/52 ,  H04N5/225 ,  H04W4/02

    摘要： A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

    摘要翻译： 智能手机感测来自用户环境的音频，图像和/或其他刺激，并自动地执行以推断或预期的用户期望。 一方面，详细的技术涉及电话摄像机观看的场景的基于手机的认知。 应用于场景的图像处理任务可以通过参考资源成本，资源约束，其他刺激信息（例如，音频），任务可替换性等从各种替代方案中选择。电话可以将更多或更少的资源应用于图像处理 任务取决于任务正在进行的成功，或者基于用户对任务的明显兴趣。 在一些安排中，数据可能被称为云进行分析，或用于清除。 识别和识别适当的设备响应可以通过附带信息（如上下文）来辅助。 还详细介绍了许多其他功能和安排。