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    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。

    Weapon identification using acoustic signatures across varying capture conditions
    2.
    发明授权
    Weapon identification using acoustic signatures across varying capture conditions 有权
    使用声学签名的武器识别在不同的捕获条件下

    公开(公告)号：US08385154B2

    公开(公告)日：2013-02-26

    申请号：US12766219

    申请日：2010-04-23

    申请人： Saad Khan ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    发明人： Saad Khan ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    IPC分类号： G01S3/80

    CPC分类号： G10L25/48

    摘要： A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.

    摘要翻译： 公开了一种用于在一组记录条件下自动检测和分类声学签名的计算机实现的方法。 接收到第一个声学签名。 第一声​​学签名被投影到使用包装方法从更大的样本集合导出的声学签名类型的最小样本集合的空间中。 在投影的声学特征与最小样本集的每个样本之间计算至少一个矢量距离。 从具有与投影的声学签名的最小向量距离的最小样本集合中选择一个范例作为对应于和分类第一声学签名的类别。 第一声​​学签名和多个声学签名可以对应于枪声，乐器，歌曲和语音之一。 最小的一组样本可以对应于声学签名类型的层级。

    METHOD AND APPARATUS FOR REAL-TIME PEDESTRIAN DETECTION FOR URBAN DRIVING
    4.
    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。

    ACTIVE COORDINATED TRACKING FOR MULTI-CAMERA SYSTEMS
    5.
    发明申请
    ACTIVE COORDINATED TRACKING FOR MULTI-CAMERA SYSTEMS 有权
    主动协调跟踪多摄像机系统

    公开(公告)号：US20100208941A1

    公开(公告)日：2010-08-19

    申请号：US12704189

    申请日：2010-02-11

    申请人： Christopher P. Broaddus ,  Thomas Germano ,  Nicholas Vandervalk ,  Shunguang Wu ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    发明人： Christopher P. Broaddus ,  Thomas Germano ,  Nicholas Vandervalk ,  Shunguang Wu ,  Ajay Divakaran ,  Harpreet Singh Sawhney

    IPC分类号： G06T7/00

    CPC分类号： G01S13/867 ,  G01S3/7864 ,  G01S13/726 ,  G06T7/194 ,  G06T7/292 ,  G06T2207/20076 ,  G06T2207/30232 ,  G08B13/19608 ,  G08B13/19645 ,  G08B13/19697

    摘要： A method and system for coordinated tracking of objects is disclosed. A plurality of images is received from a plurality of nodes, each node comprising at least one image capturing device. At least one target in the plurality of images is identified to produce at least one local track corresponding to each of the plurality of nodes having the at least one target in its field of view. The at least one local track corresponding to each of the plurality of nodes is fused according to a multi-hypothesis tracking method to produce at least one fused track corresponding to the at least one target. At least one of the plurality of nodes is assigned to track the at least one target based on minimizing at least one cost function comprising a cost matrix using the k-best algorithm for tracking at least one target for each of the plurality of nodes. The at least one fused track is sent to the at least one of the plurality of nodes assigned to track the at least one target based on the at least one fused track.

    摘要翻译： 公开了一种协调跟踪物体的方法和系统。 从多个节点接收多个图像，每个节点包括至少一个图像捕获装置。 多个图像中的至少一个目标被识别以产生与其视场中具有至少一个目标的多个节点中的每一个对应的至少一个本地轨迹。 根据多假设跟踪方法将与多个节点中的每一个相对应的至少一个本地轨道融合以产生至少一个对应于该至少一个目标的融合轨道。 所述多个节点中的至少一个被分配以跟踪所述至少一个目标，所述至少一个目标基于最小化至少一个成本函数，所述至少一个成本函数包括使用所述k-最佳算法的成本矩阵，用于跟踪所述多个节点中的每个节点的至少一个目 至少一个融合轨道被发送到被分配以基于至少一个融合轨道跟踪至少一个目标的多个节点中的至少一个。

    System and method for multi-agent event detection and recognition
    8.
    发明授权
    System and method for multi-agent event detection and recognition 有权
    多代理事件检测和识别的系统和方法

    公开(公告)号：US09569531B2

    公开(公告)日：2017-02-14

    申请号：US12489667

    申请日：2009-06-23

    申请人： Hui Cheng ,  Changjiang Yan ,  Harpreet Singh Sawhney ,  Feng Han

    发明人： Hui Cheng ,  Changjiang Yan ,  Harpreet Singh Sawhney ,  Feng Han

    IPC分类号： G06F17/30 ,  G06K9/00 ,  G06K9/46 ,  G06K9/62

    CPC分类号： G06F17/30781 ,  G06K9/00771 ,  G06K9/4642 ,  G06K9/6292

    摘要： A method and system for creating a histogram of oriented occurrences (HO2) is disclosed. A plurality of entities in at least one image are detected and tracked. One of the plurality of entities is designated as a reference entity. A local 2-dimensional ground plane coordinate system centered on and oriented with respect to the reference entity is defined. The 2-dimensional ground plane is partitioned into a plurality of non-overlapping bins, the bins forming a histogram, a bin tracking a number of occurrences of an entity class. An occurrence of at least one other entity of the plurality of entities located in the at least one image may be associated with one of the plurality of non-overlapping bins. A number of occurrences of entities of at least one entity class in at least one bin may be into a vector to define an HO2 feature.

    摘要翻译： 公开了一种用于创建定向事件直方图（HO2）的方法和系统。 检测并跟踪至少一个图像中的多个实体。 多个实体之一被指定为参照实体。 定义以参考实体为中心并定向的局部二维地面坐标系。 二维接地平面被划分成多个不重叠的箱体，该箱体形成一个直方图，一个箱子跟踪一个实体类的出现次数。 位于所述至少一个图像中的所述多个实体中的至少一个其他实体的出现可以与所述多个非重叠区域中的一个相关联。 在至少一个箱中的至少一个实体类的实体的多个出现可以被转换为向量以定义HO2特征。

    Method and apparatus for correlating and viewing disparate data
    9.
    发明授权
    Method and apparatus for correlating and viewing disparate data 有权
    用于关联和查看不同数据的方法和装置

    公开(公告)号：US09053194B2

    公开(公告)日：2015-06-09

    申请号：US13484520

    申请日：2012-05-31

    申请人： Harpreet Singh Sawhney ,  Jayakrishnan Eledath ,  Ajay Divakaran ,  Mayank Bansal ,  Hui Cheng

    发明人： Harpreet Singh Sawhney ,  Jayakrishnan Eledath ,  Ajay Divakaran ,  Mayank Bansal ,  Hui Cheng

    IPC分类号： G06F17/30

    CPC分类号： G06F17/2785 ,  G06F17/30047 ,  G06F17/30867 ,  G06F17/3087

    摘要： A computer-implemented method comprising collecting data from a plurality of information sources, identifying a geographic location associated with the data and forming a corresponding event according to the geographic location, correlating the data and the event with one or more topics based at least partly on the identified geographic location and storing the correlated data and event and inferring the associated geographic location if the data does not comprise explicit location information, including matching the data against a database of geo-referenced data.

    摘要翻译： 一种计算机实现的方法，包括从多个信息源收集数据，识别与所述数据相关联的地理位置并根据所述地理位置形成对应的事件，至少部分地基于所述数据和所述事件与一个或多个主题相关联 所识别的地理位置并存储相关数据和事件，并且如果数据不包括显式位置信息，则推断相关联的地理位置，包括将数据与地理参考数据的数据库进行匹配。

    Method and apparatus for inferring the geographic location of captured scene depictions
    10.
    发明授权
    Method and apparatus for inferring the geographic location of captured scene depictions 有权
    用于推断拍摄场景描述的地理位置的方法和装置

    公开(公告)号：US08989483B2

    公开(公告)日：2015-03-24

    申请号：US13493654

    申请日：2012-06-11

    申请人： Hui Cheng ,  Harpreet Singh Sawhney ,  Bogdan Calin Mihai Matei ,  Zhiwei Zhu ,  Nicholas John Vander Valk

    发明人： Hui Cheng ,  Harpreet Singh Sawhney ,  Bogdan Calin Mihai Matei ,  Zhiwei Zhu ,  Nicholas John Vander Valk

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00671

    摘要： A method and apparatus for determining a geographic location of a scene in a captured depiction comprising extracting a first set of features from the captured depiction by algorithmically analyzing the captured depiction, matching the extracted features of the captured depiction against a second set of extracted features associated with reference depictions with known geographic locations and when the matching is successful, identifying the geographic location of the scene in the captured depiction based on a known geographic location of a matching reference depiction from the reference depictions.

    摘要翻译： 一种用于确定拍摄描述中的场景的地理位置的方法和装置，包括通过对所捕获的描绘进行算法分析来提取所捕获的描述中的第一组特征，将所提取的描绘的特征与所提取的特征相关联的第二组进行匹配 具有已知地理位置的参考描述，并且当匹配成功时，基于来自参考描述的匹配参考描述的已知地理位置来识别所捕获的描绘中场景的地理位置。