DETECTING AN OBJECT IN AN IMAGE USING TEMPLATES INDEXED TO LOCATION OR CAMERA SENSORS
    21.
    发明申请
    DETECTING AN OBJECT IN AN IMAGE USING TEMPLATES INDEXED TO LOCATION OR CAMERA SENSORS 有权
    使用指向位置或摄像机传感器的模板检测图像中的对象

    公开(公告)号:US20090027500A1

    公开(公告)日:2009-01-29

    申请号:US11960577

    申请日:2007-12-19

    IPC分类号: H04N7/18

    摘要: An object is detected in images of a live event by storing and indexing templates based on representations of the object from previous images. For example, the object may be a vehicle which repeatedly traverses a course. A first set of images of the live event is captured when the object is at different locations in the live event. A representation of the object in each image is obtained, such as by image recognition techniques, and a corresponding template is stored. When the object again traverses the course, for each location, the stored template which is indexed to the location can be retrieved for use in detecting the object in a current image. The object's current location may be obtained from GPS data from the object, for instance, or from camera sensor data, e.g., pan, tilt and zoom, which indicates a direction in which the camera is pointed.

    摘要翻译: 通过基于来自先前图像的对象的表示存储和索引模板来检测实时事件的图像中的对象。 例如,物体可以是重复地穿过路线的车辆。 当对象位于实况事件的不同位置时,捕获实时事件的第一组图像。 获得每个图像中的对象的表示,例如通过图像识别技术,并且存储相应的模板。 当对象再次遍历路线时,对于每个位置,可以检索索引到该位置的存储的模板,以用于检测当前图像中的对象。 物体的当前位置可以从例如从对象的GPS数据或者指示相机指向的方向的相机传感器数据(例如,平移,倾斜和变焦)获得。

    Detecting an object in an image using camera registration data indexed to location or camera sensors
    24.
    发明授权
    Detecting an object in an image using camera registration data indexed to location or camera sensors 有权
    使用索引到位置或相机传感器的相机注册数据来检测图像中的对象

    公开(公告)号:US08253799B2

    公开(公告)日:2012-08-28

    申请号:US11960600

    申请日:2007-12-19

    IPC分类号: H04N7/18

    摘要: An object is detected in images of a live event by storing and indexing camera registration-related data from previous images. For example, the object may be a vehicle which repeatedly traverses a course. A first set of images of the live event is captured when the object is at different locations in the live event. The camera registration-related data for each image is obtained and stored. When the object again traverses the course, for each location, the stored camera registration-related data which is indexed to the location can be retrieved for use in estimating a position of a representation of the object in a current image, such as by defining a search area in the image. An actual position of the object in the image is determined, in response to which the camera registration-related data may be updated, such as for use in a subsequent traversal of the course.

    摘要翻译: 通过存储和索引来自先前图像的相机注册相关数据来检测实况事件的图像中的对象。 例如,物体可以是重复地穿过路线的车辆。 当对象位于实况事件的不同位置时,捕获实时事件的第一组图像。 获得并存储每个图像的相机注册相关数据。 当对象再次遍历路线时,对于每个位置,可以检索索引到该位置的存储的相机注册相关数据,以用于估计当前图像中对象的表示的位置,例如通过定义一个 搜索区域的图像。 确定对象在图像中的实际位置,以响应于哪个照相机登记相关数据可被更新,例如用于随后遍历的路线。

    Providing virtual inserts using image tracking with camera and position sensors
    25.
    发明授权
    Providing virtual inserts using image tracking with camera and position sensors 有权
    使用相机和位置传感器的图像跟踪提供虚拟插入

    公开(公告)号:US08077981B2

    公开(公告)日:2011-12-13

    申请号:US11960586

    申请日:2007-12-19

    IPC分类号: G06K9/62

    摘要: Camera registration and/or sensor data is updated during a live event by determining a difference between an estimated position of an object in an image and an actual position of the object in the image. The estimated position of the object in the image can be based on an estimated position of the object in the live event, e.g., based on GPS or other location data. This position is transformed to the image space using current camera registration and/or sensor data. The actual position of the object in the image can be determined by template matching which accounts for an orientation of the object, a shape of the object, an estimated size of the representation of the object in the image, and the estimated position of the object in the image. The updated camera registration/sensor data can be used in detecting an object in a subsequent image.

    摘要翻译: 摄像机配准和/或传感器数据在实时事件期间通过确定图像中的对象的估计位置与图像中的对象的实际位置之间的差异来更新。 物体在图像中的估计位置可以基于例如基于GPS或其他位置数据的实时事件中对象的估计位置。 使用当前的照相机配准和/或传感器数据将该位置转换成图像空间。 对象在图像中的实际位置可以通过模板匹配来确定,该模板匹配考虑了对象的取向,对象的形状,图像中对象的表示的估计大小以及对象的估计位置 在图像中。 可以使用更新的相机登记/传感器数据来检测后续图像中的对象。

    DETECTING AN OBJECT IN AN IMAGE USING MULTIPLE TEMPLATES
    28.
    发明申请
    DETECTING AN OBJECT IN AN IMAGE USING MULTIPLE TEMPLATES 有权
    使用多个模板检测图像中的对象

    公开(公告)号:US20090028440A1

    公开(公告)日:2009-01-29

    申请号:US11960571

    申请日:2007-12-19

    IPC分类号: G06K9/62 G06K9/00

    摘要: A representation of an object in an image of a live event is detected by matching potential representation of the object against multiple types of templates. For example, the templates can include monochrome data, chrominance and/or luminance data, pixel data of the object from an earlier image, e.g., as a video template, an edge and morphology based template, a model of the object, or a predetermined static texture which is based on an appearance of the object. A weighting function may also be used. In one possible approach, a first type of template is used in an initial search area, and a second type of template is used in a smaller region of the initial search area. Based on a position of the optimum representation of the object in the image, a graphic can be provided in the image, or sensor and/or registration data of a camera can be updated.

    摘要翻译: 通过将对象的潜在表示与多种类型的模板进行匹配来检测活动图像中的对象的表示。 例如,模板可以包括单色数据,色度和/或亮度数据,来自较早图像的对象的像素数据,例如视频模板,基于边缘和形态的模板,对象的模型或预定的 基于对象的外观的静态纹理。 也可以使用加权函数。 在一种可能的方法中,在初始搜索区域中使用第一类型的模板,并且在初始搜索区域的较小区域中使用第二类型的模板。 基于图像中对象的最佳表示的位置,可以在图像中提供图形,或者可以更新相机的传感器和/或注册数据。