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1. 发明申请

US20130057658A1 Method for Detection of Targets in Stereoscopic Images 有权
标题翻译：立体图像中目标检测方法
公开(公告)号：US20130057658A1
公开(公告)日：2013-03-07
申请号：US13640023
申请日：2011-04-11
申请人： Nicolas Allezard , Sabri Bayoudh , Patrick Sayd , Laurent Lucat
发明人： Nicolas Allezard , Sabri Bayoudh , Patrick Sayd , Laurent Lucat
IPC分类号： H04N13/02
CPC分类号： G06K9/6227 , G06K9/00798 , G06K9/00805 , G06K9/209
摘要： A method for detection of a target present on at least two images of the same scene captured by separate cameras comprises a prior step for learning about targets under setup conditions and further comprises, under conditions of use, a simultaneous classification step for objects present on the images, the target being said to be detected as soon as an object is classified as being one of the targets learned during the learning step. The classification step includes a step for adapting at least one of the images to the setup conditions under which the learning step took place. Application: surveillance, assistance and safety based on stereoscopic images.
摘要翻译：用于检测存在于由相机拍摄的相同场景的至少两个图像上的目标的方法包括用于在建立条件下学习目标的先前步骤，并且还包括在使用条件下，对存在于一旦对象被分类为在学习步骤期间学习的目标之一，则被认为被检测到的目标。分类步骤包括用于使至少一个图像适应于发生学习步骤的设置条件的步骤。应用：基于立体图像的监控，辅助和安全。

2. 发明授权

US09008364B2 Method for detecting a target in stereoscopic images by learning and statistical classification on the basis of a probability law 有权
标题翻译：基于概率定律通过学习和统计分类来检测立体图像中的目标的方法
公开(公告)号：US09008364B2
公开(公告)日：2015-04-14
申请号：US13809871
申请日：2011-07-08
申请人： Nicolas Allezard , Loïc Jourdheuil
发明人： Nicolas Allezard , Loïc Jourdheuil
IPC分类号： G06K9/62 , G06K9/32 , G06K9/00
CPC分类号： G06K9/3241 , G06K9/00214 , G06K9/6215 , G06K9/6288
摘要： A method for the detection of a target present in at least two images of the same scene acquired simultaneously by different cameras comprises, under development conditions, a prior target-learning step, said learning step including a step of modeling of the data X corresponding to an area of interest in the images by a distribution law P such that P(X)=P(X2d,X3d,XT)=P(X2d)P(X3d)P(XT) where X2d are the luminance data in the area of interest, X3d are the depth data in the area of interest, and XT are the movement data in the area of interest. The method also comprises, under operating conditions, a simultaneous step of classification of objects present in the images, the target being regarded as detected when an object is classified as being one of the targets learnt during the learning step. Application: monitoring, assistance and security on the basis of stereoscopic images.
摘要翻译：用于检测存在于由不同摄像机同时获取的相同场景的至少两个图像中的目标的方法包括：在开发条件下，先前的目标学习步骤，所述学习步骤包括对与之对应的数据X进行建模的步骤 P（X）= P（X2d，X3d，XT）= P（X2d）P（X3d）P（XT），其中X2d是分布规则P的图像中的亮度数据，兴趣，X3d是感兴趣区域中的深度数据，XT是感兴趣区域中的运动数据。该方法还包括在操作条件下同时对图像中存在的对象进行分类的步骤，当对象被分类为在学习步骤期间学习的目标之一时，被视为被检测的目标。应用：在立体图像的基础上进行监控，协助和安全。

3. 发明申请

US20130114858A1 Method for Detecting a Target in Stereoscopic Images by Learning and Statistical Classification on the Basis of a Probability Law 有权
标题翻译：通过基于概率法的学习和统计分类来检测立体图像中的目标的方法
公开(公告)号：US20130114858A1
公开(公告)日：2013-05-09
申请号：US13809871
申请日：2011-07-08
申请人： Nicolas Allezard , Loïc Jourdheuil
发明人： Nicolas Allezard , Loïc Jourdheuil
IPC分类号： G06K9/32
CPC分类号： G06K9/3241 , G06K9/00214 , G06K9/6215 , G06K9/6288
摘要： A method for the detection of a target present in at least two images of the same scene acquired simultaneously by different cameras comprises, under development conditions, a prior target-learning step, said learning step including a step of modeling of the data X corresponding to an area of interest in the images by a distribution law P such that P(X)=P(X2d,X3d,XT)=P(X2d)P(X3d)P(XT) where X2d are the luminance data in the area of interest, X3d are the depth data in the area of interest, and XT are the movement data in the area of interest. The method also comprises, under operating conditions, a simultaneous step of classification of objects present in the images, the target being regarded as detected when an object is classified as being one of the targets learnt during the learning step. Application: monitoring, assistance and security on the basis of stereoscopic images.
摘要翻译：用于检测存在于由不同摄像机同时获取的相同场景的至少两个图像中的目标的方法包括：在开发条件下，先前的目标学习步骤，所述学习步骤包括对与之对应的数据X进行建模的步骤 P（X）= P（X2d，X3d，XT）= P（X2d）P（X3d）P（XT），其中X2d是分布规则P的图像中的亮度数据，兴趣，X3d是感兴趣区域中的深度数据，XT是感兴趣区域中的运动数据。该方法还包括在操作条件下同时对图像中存在的对象进行分类的步骤，当对象被分类为在学习步骤期间学习的目标之一时，被视为被检测的目标。应用：在立体图像的基础上进行监控，协助和安全。

4. 发明授权

US09098774B2 Method for detection of targets in stereoscopic images 有权
标题翻译：用于检测立体图像中的目标的方法
公开(公告)号：US09098774B2
公开(公告)日：2015-08-04
申请号：US13640023
申请日：2011-04-11
申请人： Nicolas Allezard , Sabri Bayoudh , Patrick Sayd , Laurent Lucat
发明人： Nicolas Allezard , Sabri Bayoudh , Patrick Sayd , Laurent Lucat
IPC分类号： G06K9/62 , G06K9/66 , G06K9/64 , G06K9/00 , G06K9/20
CPC分类号： G06K9/6227 , G06K9/00798 , G06K9/00805 , G06K9/209
摘要： A method for detection of a target present on at least two images of the same scene captured by separate cameras comprises a prior step for learning about targets under setup conditions and further comprises, under conditions of use, a simultaneous classification step for objects present on the images, the target being said to be detected as soon as an object is classified as being one of the targets learned during the learning step. The classification step includes a step for adapting at least one of the images to the setup conditions under which the learning step took place. Application: surveillance, assistance and safety based on stereoscopic images.
摘要翻译：用于检测存在于由相机拍摄的相同场景的至少两个图像上的目标的方法包括用于在建立条件下学习目标的先前步骤，并且还包括在使用条件下，对存在于一旦对象被分类为在学习步骤期间学习的目标之一，则被认为被检测到的目标。分类步骤包括用于使至少一个图像适应于发生学习步骤的设置条件的步骤。应用：基于立体图像的监控，辅助和安全。

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