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    • 1. 发明授权
    • System and method for animal gait characterization from bottom view using video analysis
    • 使用视频分析从底视图进行动物步态表征的系统和方法
    • US08514236B2
    • 2013-08-20
    • US10955661
    • 2004-09-30
    • Vikrant KoblaYiqing LiangFeng-Feng WangYi Zhang
    • Vikrant KoblaYiqing LiangFeng-Feng WangYi Zhang
    • G09G5/36
    • G06K9/00342A01K1/031A61B5/1113A61B5/1116A61B5/1118A61B5/1128A61B5/4094A61B5/7264A61B5/7267A61B2503/40A61B2503/42G06F19/00G06K9/00335G06K9/00369G06T7/20G06T2207/30004
    • In general, the present invention is directed to systems and methods for finding the gait parameters of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation, foot identification, foot tracking, and gait parameter calculation. In a preferred embodiment, the present invention may use a treadmill apparatus with a transparent tread or belt for gait parameter calculation. A camera may be placed directly underneath the transparent tread such that the bottom view of the animal walking or running on the transparent tread is captured by the camera. A tilted mirror may also be placed directly underneath the transparent tread in order to reflect the bottom view images to the side where they are captured by a high-speed camera. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals' feet within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and characterizing gait behavior such as walking and running behavior and their patterns for assessing neurological functions, testing drugs and genetic mutations, but may be used in any of a number of other monitoring and surveillance applications.
    • 通常,本发明涉及用于使用视频来查找动物的步态参数的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统,其中计算机被配置为自动提供动物分割,脚识别,脚跟踪和步态参数计算。 在优选实施例中,本发明可以使用具有用于步态参数计算的透明胎面或带的跑步机装置。 相机可以直接放置在透明胎面下方,使得在透明胎面上行走或跑步的动物的底视图被相机捕获。 倾斜的镜子也可以直接放置在透明胎面下面,以便将底视图图像反射到被高速摄像机捕获的一侧。 因此,本发明能够自动监视视频图像以识别,跟踪和分类图像内各种动物脚的动作。 图像可以实时地或从存储提供。 本发明对于监测和表征步态和行为行为及其用于评估神经功能,测试药物和遗传突变的模式,但可用于许多其它监测和监视应用中的任何一个中是特别有用的。
    • 2. 发明申请
    • System and method for animal gait characterization from bottom view using video analysis
    • 使用视频分析从底视图进行动物步态表征的系统和方法
    • US20070229522A1
    • 2007-10-04
    • US10955661
    • 2004-09-30
    • Feng-Feng WangYi ZhangVikrant KoblaYiqing Liang
    • Feng-Feng WangYi ZhangVikrant KoblaYiqing Liang
    • G09G5/36
    • G06K9/00342A01K1/031A61B5/1113A61B5/1116A61B5/1118A61B5/1128A61B5/4094A61B5/7264A61B5/7267A61B2503/40A61B2503/42G06F19/00G06K9/00335G06K9/00369G06T7/20G06T2207/30004
    • In general, the present invention is directed to systems and methods for finding the gait parameters of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation, foot identification, foot tracking, and gait parameter calculation. In a preferred embodiment, the present invention may use a treadmill apparatus with a transparent tread or belt for gait parameter calculation. A camera may be placed directly underneath the transparent tread such that the bottom view of the animal walking or running on the transparent tread is captured by the camera. A tilted mirror may also be placed directly underneath the transparent tread in order to reflect the bottom view images to the side where they are captured by a high-speed camera. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals' feet within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and characterizing gait behavior such as walking and running behavior and their patterns for assessing neurological functions, testing drugs and genetic mutations, but may be used in any of a number of other monitoring and surveillance applications.
    • 通常,本发明涉及用于使用视频来查找动物的步态参数的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统,其中计算机被配置为自动提供动物分割,脚识别,脚跟踪和步态参数计算。 在优选实施例中,本发明可以使用具有用于步态参数计算的透明胎面或带的跑步机装置。 相机可以直接放置在透明胎面下方,使得在透明胎面上行走或跑步的动物的底视图被相机捕获。 倾斜的镜子也可以直接放置在透明胎面下面,以便将底视图图像反射到被高速摄像机捕获的一侧。 因此,本发明能够自动监视视频图像以识别,跟踪和分类图像内各种动物脚的动作。 图像可以实时地或从存储提供。 本发明对于监测和表征步态和行为行为及其用于评估神经功能,测试药物和遗传突变的模式,但可用于许多其它监测和监视应用中的任何一个中是特别有用的。
    • 5. 发明授权
    • Unified system and method for animal behavior characterization in home cages using video analysis
    • 使用视频分析的家庭网箱动物行为表征的统一系统和方法
    • US07209588B2
    • 2007-04-24
    • US10698044
    • 2003-10-30
    • Yiqing LiangVikrant KoblaXuesheng BaiYi Zhang
    • Yiqing LiangVikrant KoblaXuesheng BaiYi Zhang
    • G06K9/00
    • G06K9/00342A01K1/031A61B5/1113A61B5/1116A61B5/1118A61B5/1128A61B5/4094A61B5/7264A61B5/7267A61B2503/40A61B2503/42G06F19/00G06K9/00335G06K9/00369G06T7/20G06T2207/30004
    • In general, the present invention is directed to systems and methods for finding the position and shape of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal-posture classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for posture and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.
    • 通常,本发明涉及使用视频来找到动物的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统,其中计算机被配置为自动提供动物分割和识别,动物运动跟踪(用于移动的动物),动物姿势分类和行为识别。 在优选实施例中,本发明可以使用用于动物识别和跟踪的背景减除,以及用于姿势和行为识别的决策树分类和基于规则的分类的组合。 因此,本发明能够自动监视视频图像以识别,跟踪和分类各种动物的动作和图像内动物的动作。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为,但可用于许多其他监视应用中的任何一种。
    • 8. 发明授权
    • System and method for object identification and behavior characterization using video analysis
    • 使用视频分析的对象识别和行为表征的系统和方法
    • US06678413B1
    • 2004-01-13
    • US09718374
    • 2000-11-24
    • Yiqing LiangLinda CrnicVikrant KoblaWayne Wolf
    • Yiqing LiangLinda CrnicVikrant KoblaWayne Wolf
    • G06K900
    • G06K9/00342A01K1/031A61B5/1113A61B5/1116A61B5/1118A61B5/1128A61B5/4094A61B5/7264A61B5/7267A61B2503/40A61B2503/42G06F19/00G06K9/00335G06K9/00369G06T7/20G06T2207/30004
    • In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.
    • 通常,本发明涉及用于使用视频来查找对象的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统,其中计算机被配置为自动提供对象分割和识别,对象运动跟踪(用于移动对象),对象位置分类和行为识别。 在优选实施例中,本发明可以使用用于对象识别和跟踪的背景减除,用于跟踪运动检测和对象分类的期望最大化的概率方法以及用于行为识别的决策树分类。 因此,本发明能够自动监视视频图像以识别,跟踪和分类各种对象的动作和对象在图像内的运动。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为,但可用于许多其他监视应用中的任何一种。
    • 10. 发明授权
    • System and method for object identification and behavior characterization using video analysis
    • 使用视频分析的对象识别和行为表征的系统和方法
    • US07068842B2
    • 2006-06-27
    • US10666741
    • 2003-09-19
    • Yiqing LiangLinda CrnicVikrant KoblaWayne Wolf
    • Yiqing LiangLinda CrnicVikrant KoblaWayne Wolf
    • G06K9/00
    • G06K9/00342A01K1/031A61B5/1113A61B5/1116A61B5/1118A61B5/1128A61B5/4094A61B5/7264A61B5/7267A61B2503/40A61B2503/42G06F19/00G06K9/00335G06K9/00369G06T7/20G06T2207/30004
    • In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.
    • 通常,本发明涉及用于使用视频来查找对象的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统,其中计算机被配置为自动提供对象分割和识别,对象运动跟踪(用于移动对象),对象位置分类和行为识别。 在优选实施例中,本发明可以使用用于对象识别和跟踪的背景减除,用于跟踪运动检测和对象分类的期望最大化的概率方法以及用于行为识别的决策树分类。 因此,本发明能够自动监视视频图像以识别,跟踪和分类各种对象的动作和对象在图像内的运动。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为,但可用于许多其他监视应用中的任何一种。