VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE
    1.
    发明申请
    VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE 有权
    使用乘客驾驶特征距离的车辆危害检测

    公开(公告)号:US20150324653A1

    公开(公告)日:2015-11-12

    申请号:US14273774

    申请日:2014-05-09

    CPC classification number: G06K9/00838 B60R1/00 G08G1/04

    Abstract: A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.

    Abstract translation: 一种用于车辆占用检测的方法,系统和装置,包括:收集车辆的图像数据,根据车辆的驾驶员位置的多个特征创建第一值,然后根据多个 车辆中至少一个其他候选乘客位置的特征。 比较车辆的驾驶员位置和车辆候选乘客位置的特性,以确定车辆占用。

    METHODS AND SYSTEMS FOR RANKING IMAGES USING SEMANTIC AND AESTHETIC MODELS
    2.
    发明申请
    METHODS AND SYSTEMS FOR RANKING IMAGES USING SEMANTIC AND AESTHETIC MODELS 有权
    使用语义和美学模型排列图像的方法和系统

    公开(公告)号:US20140351264A1

    公开(公告)日:2014-11-27

    申请号:US13898880

    申请日:2013-05-21

    CPC classification number: G06F17/30247

    Abstract: A method, a system, and a computer program product for extracting one or more images from a storage medium. A search model is selected based on the availability of a semantically related aesthetic model. A search model includes a generic aesthetic model if the semantically related aesthetic model for query is not available. A semantic score and an aesthetic score are computed based on the selected search model. The images are further ranked based on the semantic and aesthetic score.

    Abstract translation: 一种用于从存储介质提取一个或多个图像的方法,系统和计算机程序产品。 基于语义相关的美学模型的可用性来选择搜索模型。 如果用于查询的语义相关的美学模型不可用,则搜索模型包括通用审美模型。 基于所选择的搜索模型计算语义分数和美学得分。 图像根据语义和美学得分进一步排名。

    Multi-query privacy-preserving parking management system and method

    公开(公告)号:US09792301B2

    公开(公告)日:2017-10-17

    申请号:US14497417

    申请日:2014-09-26

    CPC classification number: G06F17/30253 G06Q20/145 G07B15/02 G07F17/24

    Abstract: A privacy-preserving multi-query parking management system and method. An image of a vehicle with respect to a specific part (e.g., license plate) can be captured when the vehicle enters via an entry point. An image signature can be computed by embedding the image into a descriptor space and the image signature can be stored in a database together with relevant metadata. An image of a vehicle with respect to the specific part can be captured when the vehicle exits via at least one exit point and an image signature can be computed. An entry-exit association with respect to the vehicle can be performed by searching for a most similar image signature in the database. Additionally, given a textual query (e.g., a license plate number), a signature can be computed by embedding the text into the same descriptor space.

    METHOD AND SYSTEM TO PERFORM TEXT-TO-IMAGE QUERIES WITH WILDCARDS
    6.
    发明申请
    METHOD AND SYSTEM TO PERFORM TEXT-TO-IMAGE QUERIES WITH WILDCARDS 有权
    用WILDCARDS执行文本到图像查询的方法和系统

    公开(公告)号:US20160210532A1

    公开(公告)日:2016-07-21

    申请号:US14601802

    申请日:2015-01-21

    Abstract: A system and method for comparing a text image with or without a wildcard character and a character string are provided. The method includes embedding a character string into a vectorial space by extracting a set of features from the character string and generating a character string representation based on the extracted features, such as a spatial pyramid bag of characters (SPBOC) representation. A text image is embedded into a vectorial space by extracting a set of features from the text image and generating a text image representation based on the text image extracted features. A similarity between the text image representation and the character string representation is computed, which includes computing a function of the text image representation and character string representation.

    Abstract translation: 提供了一种用于比较文本图像与/不具有通配符和字符串的系统和方法。 该方法包括通过从字符串提取一组特征并基于所提取的特征(诸如空间金字塔包(SPBOC)表示)生成字符串表示来将字符串嵌入向量空间中。 文本图像通过从文本图像提取一组特征并且基于文本图像提取的特征生成文本图像表示来嵌入向量空间中。 计算文本图像表示和字符串表示之间的相似度,其包括计算文本图像表示和字符串表示的功能。

    Methods and systems for confidence-based image processing
    7.
    发明授权
    Methods and systems for confidence-based image processing 有权
    基于置信度图像处理的方法和系统

    公开(公告)号:US09100572B2

    公开(公告)日:2015-08-04

    申请号:US13902183

    申请日:2013-05-24

    Abstract: A system and method for triggering image re-capture in image processing by receiving a first image captured using a first mode, performing a computer vision task on the first image to produce a first result, generating a confidence score of the first result using a machine learning technique, triggering an image re-capture using a second mode in response to the confidence score of the first result, and performing the computer vision task on a result of the image recapture using the second mode.

    Abstract translation: 一种用于通过接收使用第一模式捕获的第一图像来触发图像处理中的图像再捕获的系统和方法,对所述第一图像执行计算机视觉任务以产生第一结果,使用机器产生所述第一结果的置信度得分 学习技术,响应于第一结果的置信度,触发使用第二模式的图像重新捕获,以及使用第二模式对图像重新捕获的结果执行计算机视觉任务。

    METHODS AND SYSTEMS FOR CONFIDENCE-BASED IMAGE PROCESSING
    8.
    发明申请
    METHODS AND SYSTEMS FOR CONFIDENCE-BASED IMAGE PROCESSING 有权
    用于基于信心的图像处理的方法和系统

    公开(公告)号:US20140347511A1

    公开(公告)日:2014-11-27

    申请号:US13902183

    申请日:2013-05-24

    Abstract: A system and method for triggering image re-capture in image processing by receiving a first image captured using a first mode, performing a computer vision task on the first image to produce a first result, generating a confidence score of the first result using a machine learning technique, triggering an image re-capture using a second mode in response to the confidence score of the first result, and performing the computer vision task on a result of the image recapture using the second mode.

    Abstract translation: 一种用于通过接收使用第一模式捕获的第一图像来触发图像处理中的图像再捕获的系统和方法,对所述第一图像执行计算机视觉任务以产生第一结果,使用机器产生所述第一结果的置信度得分 学习技术,响应于第一结果的置信度,触发使用第二模式的图像重新捕获,以及使用第二模式对图像重新捕获的结果执行计算机视觉任务。

    MULTI-QUERY PRIVACY-PRESERVING PARKING MANAGEMENT SYSTEM AND METHOD
    9.
    发明申请
    MULTI-QUERY PRIVACY-PRESERVING PARKING MANAGEMENT SYSTEM AND METHOD 有权
    多重隐私保护管理系统及方法

    公开(公告)号:US20160092473A1

    公开(公告)日:2016-03-31

    申请号:US14497417

    申请日:2014-09-26

    CPC classification number: G06F17/30253 G06Q20/145 G07B15/02 G07F17/24

    Abstract: A privacy-preserving multi-query parking management system and method. An image of a vehicle with respect to a specific part (e.g., license plate) can be captured when the vehicle enters via an entry point. An image signature can be computed by embedding the image into a descriptor space and the image signature can be stored in a database together with relevant metadata. An image of a vehicle with respect to the specific part can be captured when the vehicle exits via at least one exit point and an image signature can be computed. An entry-exit association with respect to the vehicle can be performed by searching for a most similar image signature in the database. Additionally, given a textual query (e.g., a license plate number), a signature can be computed by embedding the text into the same descriptor space.

    Abstract translation: 一种隐私保护多查询停车管理系统和方法。 当车辆通过入口点进入时,可以捕获相对于特定部分(例如,牌照)的车辆的图像。 可以通过将图像嵌入到描述符空间中来计算图像签名,并且可以将图像签名与相关元数据一起存储在数据库中。 当车辆经由至少一个出口点离开时,可以捕获相对于特定部分的车辆的图像,并且可以计算图像签名。 可以通过在数据库中搜索最相似的图像签名来执行关于车辆的入口关联。 此外,给定文本查询(例如,牌照号码),可以通过将文本嵌入相同的描述符空间来计算签名。

    Methods and systems for ranking images using semantic and aesthetic models
    10.
    发明授权
    Methods and systems for ranking images using semantic and aesthetic models 有权
    使用语义和美学模型对图像进行排序的方法和系统

    公开(公告)号:US09286325B2

    公开(公告)日:2016-03-15

    申请号:US13898880

    申请日:2013-05-21

    CPC classification number: G06F17/30247

    Abstract: A method, a system, and a computer program product for extracting one or more images from a storage medium. A search model is selected based on the availability of a semantically related aesthetic model. A search model includes a generic aesthetic model if the semantically related aesthetic model for query is not available. A semantic score and an aesthetic score are computed based on the selected search model. The images are further ranked based on the semantic and aesthetic score.

    Abstract translation: 一种用于从存储介质提取一个或多个图像的方法,系统和计算机程序产品。 基于语义相关的美学模型的可用性来选择搜索模型。 如果用于查询的语义相关的美学模型不可用,则搜索模型包括通用审美模型。 基于所选择的搜索模型计算语义分数和美学得分。 图像根据语义和美学得分进一步排名。

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