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12 条记录 (耗时 0.029 秒)

    Method and apparatus for real-time pedestrian detection for urban driving
    1.
    发明授权
    Method and apparatus for real-time pedestrian detection for urban driving 有权
    城市驾驶实时行人检测方法与装置

    公开(公告)号：US08861842B2

    公开(公告)日：2014-10-14

    申请号：US13022118

    申请日：2011-02-07

    申请人： Sang-Hack Jung ,  Mayank Bansal ,  Bogdan Calin Mihai Matei ,  Jayan Eledath ,  Harpreet Singh Sawhney ,  Rakesh Kumar ,  Raia Hadsell

    发明人： Sang-Hack Jung ,  Mayank Bansal ,  Bogdan Calin Mihai Matei ,  Jayan Eledath ,  Harpreet Singh Sawhney ,  Rakesh Kumar ,  Raia Hadsell

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00805 ,  G06K9/00369

    摘要： A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.

    摘要翻译： 公开了一种用于检测车辆附近的一个或多个行人的存在的计算机实现方法。 从至少一个图像捕获装置接收场景的图像。 从图像中导出深度图。 通过将多个ROI中的每一个与3D人体形状模型进行匹配，从深度图检测多个行人候选区域（ROI）。 候选ROI的至少一部分通过采用针对多个深度带调谐的分级器级联进行分类，并且针对候选ROI部分内的数据的滤波表示进行训练，以确定至少一个行人是否靠近车辆。

    METHOD AND APPARATUS FOR REAL-TIME PEDESTRIAN DETECTION FOR URBAN DRIVING
    2.
    发明申请
    METHOD AND APPARATUS FOR REAL-TIME PEDESTRIAN DETECTION FOR URBAN DRIVING 有权
    用于城市驾驶的实时检测方法和装置

    公开(公告)号：US20110255741A1

    公开(公告)日：2011-10-20

    申请号：US13022118

    申请日：2011-02-07

    申请人： Sang-Hack Jung ,  Mayank Bansal ,  Bogdan Calin Mihai Matei ,  Jayan Eledath ,  Harpreet Singh Sawhney ,  Rakesh Kumar ,  Raia Hadsell

    发明人： Sang-Hack Jung ,  Mayank Bansal ,  Bogdan Calin Mihai Matei ,  Jayan Eledath ,  Harpreet Singh Sawhney ,  Rakesh Kumar ,  Raia Hadsell

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00805 ,  G06K9/00369

    摘要： A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.

    摘要翻译： 公开了一种用于检测车辆附近的一个或多个行人的存在的计算机实现方法。 从至少一个图像捕获装置接收场景的图像。 从图像中导出深度图。 通过将多个ROI中的每一个与3D人体形状模型进行匹配，从深度图检测多个行人候选区域（ROI）。 候选ROI的至少一部分通过采用针对多个深度带调谐的分级器级联进行分类，并且针对候选ROI部分内的数据的滤波表示进行训练，以确定至少一个行人是否靠近车辆。

    Real-time action detection and classification
    5.
    发明授权
    Real-time action detection and classification 有权
    实时动作检测与分类

    公开(公告)号：US08634638B2

    公开(公告)日：2014-01-21

    申请号：US12488911

    申请日：2009-06-22

    申请人： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Rakesh Kumar ,  Yanlin Guo

    发明人： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Rakesh Kumar ,  Yanlin Guo

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00342

    摘要： The present invention relates to a method and system for creating a strong classifier based on motion patterns wherein the strong classifier may be used to determine an action being performed by a body in motion. When creating the strong classifier, action classification is performed by measuring similarities between features within motion patterns. Embodiments of the present invention may utilize candidate part-based action sets and training samples to train one or more weak classifiers that are then used to create a strong classifier.

    摘要翻译： 本发明涉及一种用于基于运动模式创建强分类器的方法和系统，其中强分类器可用于确定由运动中的身体执行的动作。 当创建强分类器时，通过测量运动模式中的特征之间的相似度来执行动作分类。 本发明的实施例可以利用基于候选部分的动作集和训练样本来训练一个或多个弱分类器，然后将其用于创建强分类器。

    Real-Time Action Detection and Classification
    6.
    发明申请
    Real-Time Action Detection and Classification 有权
    实时行动检测与分类

    公开(公告)号：US20090316983A1

    公开(公告)日：2009-12-24

    申请号：US12488911

    申请日：2009-06-22

    申请人： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Rakesh Kumar ,  Yanlin Guo

    发明人： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Rakesh Kumar ,  Yanlin Guo

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00342

    摘要： The present invention relates to a method and system for creating a strong classifier based on motion patterns wherein the strong classifier may be used to determine an action being performed by a body in motion. When creating the strong classifier, action classification is performed by measuring similarities between features within motion patterns. Embodiments of the present invention may utilize candidate part-based action sets and training samples to train one or more weak classifiers that are then used to create a strong classifier.

    摘要翻译： 本发明涉及一种用于基于运动模式创建强分类器的方法和系统，其中强分类器可用于确定由运动中的身体执行的动作。 当创建强分类器时，通过测量运动模式中的特征之间的相似度来执行动作分类。 本发明的实施例可以利用基于候选部分的动作集和训练样本来训练一个或多个弱分类器，然后将其用于创建强分类器。

    METHOD FOR POSE INVARIANT VESSEL FINGERPRINTING
    9.
    发明申请
    METHOD FOR POSE INVARIANT VESSEL FINGERPRINTING 有权
    用于不定式船舶指纹的方法

    公开(公告)号：US20100328452A1

    公开(公告)日：2010-12-30

    申请号：US12758507

    申请日：2010-04-12

    申请人： Sang-Hack Jung ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    发明人： Sang-Hack Jung ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    IPC分类号： H04N7/18 ,  G06K9/46

    CPC分类号： G06K9/00771 ,  G06K9/6206 ,  G06K9/6211

    摘要： A computer-implemented method for matching objects is disclosed. At least two images where one of the at least two images has a first target object and a second of the at least two images has a second target object are received. At least one first patch from the first target object and at least one second patch from the second target object are extracted. A distance-based part encoding between each of the at least one first patch and the at least one second patch based upon a corresponding codebook of image parts including at least one of part type and pose is constructed. A viewpoint of one of the at least one first patch is warped to a viewpoint of the at least one second patch. A parts level similarity measure based on the view-invariant distance measure for each of the at least one first patch and the at least one second patch is applied to determine whether the first target object and the second target object are the same or different objects.

    摘要翻译： 公开了一种用于匹配对象的计算机实现的方法。 接收至少两个图像，其中至少两个图像中的一个具有第一目标对象，并且至少两个图像中的第二图像具有第二目标对象。 提取来自第一目标对象的至少一个第一补丁和来自第二目标对象的至少一个第二补丁。 构建基于包括部件类型和姿态中的至少一个的图像部件的对应码本的至少一个第一贴片和至少一个第二贴片中的每一个之间的基于距离的部件编码。 所述至少一个第一贴片中的一个的视点弯曲到所述至少一个第二贴片的观点。 应用基于对于至少一个第一贴片和至少一个第二贴片中的每一个的视图不变距离度量的零件级相似性度量来确定第一目标对象和第二目标对象是相同还是不同的对象。

    Method for pose invariant vessel fingerprinting
    10.
    发明授权
    Method for pose invariant vessel fingerprinting 有权
    姿态不变血管指纹方法

    公开(公告)号：US08330819B2

    公开(公告)日：2012-12-11

    申请号：US12758507

    申请日：2010-04-12

    申请人： Sang-Hack Jung ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    发明人： Sang-Hack Jung ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    IPC分类号： H04N7/18

    CPC分类号： G06K9/00771 ,  G06K9/6206 ,  G06K9/6211

    摘要： A computer-implemented method for for matching objects is disclosed. At least two images where one of the at least two images has a first target object and a second of the at least two images has a second target object are received. At least one first patch from the first target object and at least one second patch from the second target object are extracted. A distance-based part encoding between each of the at least one first patch and the at least one second patch based upon a corresponding codebook of image parts including at least one of part type and pose is constructed. A viewpoint of one of the at least one first patch is warped to a viewpoint of the at least one second patch. A parts level similarity measure based on the view-invariant distance measure for each of the at least one first patch and the at least one second patch is applied to determine whether the first target object and the second target object are the same or different objects.

    摘要翻译： 公开了一种用于匹配对象的计算机实现的方法。 接收至少两个图像，其中至少两个图像中的一个具有第一目标对象，并且至少两个图像中的第二图像具有第二目标对象。 提取来自第一目标对象的至少一个第一补丁和来自第二目标对象的至少一个第二补丁。 构建基于包括部件类型和姿态中的至少一个的图像部件的对应码本的至少一个第一贴片和至少一个第二贴片中的每一个之间的基于距离的部件编码。 所述至少一个第一贴片中的一个的视点弯曲到所述至少一个第二贴片的观点。 应用基于对于至少一个第一贴片和至少一个第二贴片中的每一个的视图不变距离度量的零件级相似性度量来确定第一目标对象和第二目标对象是相同还是不同的对象。