System and method of face recognition using proportions of learned model
    11.
    发明授权
    System and method of face recognition using proportions of learned model 失效
    使用学习模型比例的人脸识别系统和方法

    公开(公告)号:US07308133B2

    公开(公告)日:2007-12-11

    申请号:US09966408

    申请日:2001-09-28

    IPC分类号: G06K9/62 G06K9/68

    CPC分类号: G06K9/00288

    摘要: A system and method for classifying facial image data, the method comprising the steps of: training a classifier device for recognizing one or more facial images and obtaining corresponding learned models the facial images used for training; inputting a vector including data representing a portion of an unknown facial image to be recognized into the classifier; classifying the portion of the unknown facial image according to a classification method; repeating inputting and classifying steps using a different portion of the unknown facial image at each iteration; and, identifying a single class result from the different portions input to the classifier.

    摘要翻译: 一种用于分类面部图像数据的系统和方法,所述方法包括以下步骤:训练用于识别一个或多个面部图像的分类器装置,并获得用于训练的面部图像的相应学习模型; 将包含表示要识别的未知脸部图像的一部分的数据的向量输入到分类器中; 根据分类方法对未知面部图像的部分进行分类; 在每次迭代时,使用未知面部图像的不同部分重复输入和分类步骤; 并且从输入到分类器的不同部分识别单个类结果。

    System and Method for Selectively Activating Biometric Sensors
    13.
    发明申请
    System and Method for Selectively Activating Biometric Sensors 审中-公开
    选择性激活生物识别传感器的系统和方法

    公开(公告)号:US20080122577A1

    公开(公告)日:2008-05-29

    申请号:US10556247

    申请日:2004-05-06

    IPC分类号: G06F7/04

    摘要: A system and method is provided for selectively activating biometric sensors (102, 104, 106) to authenticate the identity of an individual while conserving system resources. A biometric system has at least two tiers of sensors, first (102) and second tier sensors (104, 106), where the first tier sensors (102) are characteristically less sophisticated and less expensive to operate than the second tier sensors (104, 106). One or more of the second tier sensors (104, 106) are activated only after a user's biometric is successfully or unsuccessfully verified by one of the first tier sensors (102). Alternatively, the second tier sensors (104, 106) are activated in response to a user requesting a particular level of service or in response to an environmental condition. Alternatively, only those sensors are turned on which are compatible with a user's biometric profile.

    摘要翻译: 提供了一种系统和方法,用于选择性地激活生物测定传感器(102,104,106)以在保护系统资源的同时认证个体的身份。 生物测定系统具有至少两层的传感器,第一层(102)和第二层传感器(104,106),其中第一层传感器(102)的性能不如第二层传感器(104,106)要复杂且成本低, 106)。 在第一层传感器(102)之一成功或不成功地验证用户的生物特征之后,仅激活第二层传感器(104,106)中的一个或多个。 或者,第二层传感器(104,106)响应于用户请求特定服务水平或响应于环境条件而被激活。 或者,仅打开与用户的生物特征相​​容的传感器。

    Method and apparatus for automatic face blurring
    14.
    发明授权
    Method and apparatus for automatic face blurring 失效
    自动脸部模糊的方法和装置

    公开(公告)号:US06959099B2

    公开(公告)日:2005-10-25

    申请号:US10011612

    申请日:2001-12-06

    摘要: An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.

    摘要翻译: 公开了一种为图像提供自动脸部或皮肤模糊的图像处理系统。 所有面部或皮肤都可以模糊,或者特定的面部可以模糊。 在本发明的一个方面,特定的脸部在视频中的图像或一系列图像上模糊。 在图像中确定面部,并且执行面部匹配以将特定面部与图像中的面部匹配。 如果找到匹配,脸部或脸部的一部分在图像中模糊。 在包含特定面部的图像的一部分上执行模糊。 可以通过各种技术来执行模糊。 在本发明的另一方面,语音处理用作面部分析的附加物或代替脸部分析,以确定图像中的脸部或一系列图像是否应该模糊。 在本发明的另一方面,图像或一系列图像中的所有面部或人体皮肤都模糊。

    Method and apparatus for routing persons through one or more destinations based on a least-cost criterion
    15.
    发明授权
    Method and apparatus for routing persons through one or more destinations based on a least-cost criterion 失效
    基于最低成本标准将人员路由到一个或多个目的地的方法和装置

    公开(公告)号:US06633232B2

    公开(公告)日:2003-10-14

    申请号:US09855104

    申请日:2001-05-14

    IPC分类号: G08B2300

    CPC分类号: G06Q30/06

    摘要: A vision system that is capable of computing the crowd densities, shopper movement speed and direction, and queue lengths at different locations in a shopping center makes recommendations for least-cost path through a set of destinations. Well-known person-counting techniques may be employed. One type of output display is a map display with an overlay an optimal route through a shopping venue.

    摘要翻译: 能够计算人群密度,购物者移动速度和方向的视觉系统以及购物中心不同位置的队列长度,为通过一组目的地的最低成本路径提出建议。 可以采用众所周知的计数技术。 一种类型的输出显示是一个地图显示,覆盖一个通过购物场所的最佳路线。

    Face recognition using evolutionary algorithms
    16.
    发明授权
    Face recognition using evolutionary algorithms 失效
    使用进化算法进行人脸识别

    公开(公告)号:US07139738B2

    公开(公告)日:2006-11-21

    申请号:US10183691

    申请日:2002-06-27

    IPC分类号: G06F151/18

    CPC分类号: G06K9/00288

    摘要: A system and method wherein the parameters used for face recognition are determined via an evolutionary algorithm, such as a genetic algorithm. Candidate sets of parameters are evaluated for face recognition performance in a given environment. The most effective sets of parameters are used to generate offspring sets of parameters, and these offspring sets are subsequently evaluated for face recognition performance. This process is repeated, with each generation of offspring sets inheriting attributes of the most successful sets, until the system converges on a set of parameters that exhibits superior performance for the given environment. In like manner, other sets of parameters are determined for other environments. When the face recognition system is deployed, the appropriate set of parameters is used, dependent upon the environment in which the target images originate. In this manner, the system exhibits superior performance in each of the environments in which it is deployed.

    摘要翻译: 一种系统和方法,其中用于面部识别的参数通过诸如遗传算法的进化算法来确定。 在给定的环境中评估候选参数集的面部识别性能。 最有效的参数集用于生成参数的后代集合,随后对这些后代集进行面部识别性能的评估。 这个过程被重复,每一代后代集继承了最成功的集合的属性,直到系统收敛于对给定环境表现出优异性能的一组参数。 以类似的方式,为其他环境确定其他参数集。 当部署脸部识别系统时,根据目标图像产生的环境,使用适当的参数集合。 以这种方式,该系统在其部署的每个环境中表现出优异的性能。

    Head motion estimation from four feature points

    公开(公告)号:US07027618B2

    公开(公告)日:2006-04-11

    申请号:US09966410

    申请日:2001-09-28

    IPC分类号: G06K9/00

    摘要: Linear method for performing head motion estimation from facial feature data, the method comprising the steps of: obtaining first facial image and detecting a head in the first image; detecting position of four points P of said first facial image where P={p1, p2, p3, p4}, and pk=(xk, yk); obtaining second facial image and detecting a head in the second image; detecting position of four points P′ of the second facial image where P′={p′1, p′2, p′3, p′4} and p′k=(x′k, y′k); and, determining the motion of the head represented by a rotation matrix R and translation vector T using the points P and P′.The head motion estimation is governed according to an equation: P′i=RPi+T, where R = [ r 1 T r 2 T r 3 T ] = [ r ij ] 3 × 3 and T=[T1 T2 T3]T represents camera rotation and translation respectively.

    Object classification via time-varying information inherent in imagery
    18.
    发明申请
    Object classification via time-varying information inherent in imagery 审中-公开
    通过图像固有的时变信息进行对象分类

    公开(公告)号:US20050259865A1

    公开(公告)日:2005-11-24

    申请号:US10295649

    申请日:2002-11-15

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06K9/00711

    摘要: A method for classifying objects in a scene, is provided. The method including: capturing video data of the scene; locating at least one object in a sequence of video frames of the video data; inputting the at least one located object in the sequence of video frames into a time-delay neural network; and classifying the at least one object based on the results of the time-delay neural network.

    摘要翻译: 提供了一种用于对场景中的对象进行分类的方法。 该方法包括:捕获场景的视频数据; 在视频数据的视频帧序列中定位至少一个对象; 将视频帧序列中的至少一个定位对象输入到时间延迟神经网络中; 并且基于时间延迟神经网络的结果对至少一个对象进行分类。

    Vision-based method and apparatus for automatically activating a child safety feature
    19.
    发明授权
    Vision-based method and apparatus for automatically activating a child safety feature 有权
    基于视觉的方法和装置,用于自动激活儿童安全功能

    公开(公告)号:US06720880B2

    公开(公告)日:2004-04-13

    申请号:US10014198

    申请日:2001-11-13

    IPC分类号: G08B2300

    摘要: A method and apparatus are disclosed for monitoring a location using vision-based technologies and to automatically trigger the activation of a child safety feature or an alarm when a child is detected. One or more image capture devices are focused on a given location. The captured images are processed to identify the presence of a child and to initiate an appropriate response, such as sending assistance, activating a child safety feature or triggering an alarm. A number of rules can be utilized to define various child safety events. Each rule contains one or more conditions that must be satisfied in order for the rule to be triggered, and, optionally, a corresponding action-item that should be performed when the rule is satisfied, such as sending assistance, activating a child safety feature or triggering an alarm.

    摘要翻译: 公开了一种用于使用基于视觉的技术监视位置并且在检测到孩子时自动触发儿童安全特征或警报的激活的方法和装置。 一个或多个图像捕获设备集中在给定位置。 捕获的图像被处理以识别儿童的存在并且发起适当的响应,例如发送帮助,激活儿童安全特征或触发警报。 可以使用许多规则来定义各种儿童安全事件。 每个规则包含一个或多个必须满足的条件,以便触发规则,以及可选地,当满足规则时应该执行的相应动作项,例如发送帮助,激活儿童安全功能或 触发警报。