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:
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:
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:
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:
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:
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:
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:
A representation of an object in an image of a live event is obtained by determining a color profile of the object. The color profile may be determined from the image in real time and compared to stored color profiles to determine a best match. For example, the color profile of the representation of the object can be obtained by classifying color data of the representation of the object into different bins of a color space, in a histogram of color data. The stored color profiles may be indexed to object identifiers, object viewpoints, or object orientations. Color data which is common to different objects or to a background color may be excluded. Further, a template can be used as an additional aid in identifying the representation of the object. The template can include, e.g., a model of the object or pixel data of the object from a prior image.
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:
A representation of an object in an image of a live event is obtained by determining a color profile of the object. The color profile may be determined from the image in real time and compared to stored color profiles to determine a best match. For example, the color profile of the representation of the object can be obtained by classifying color data of the representation of the object into different bins of a color space, in a histogram of color data. The stored color profiles may be indexed to object identifiers, object viewpoints, or object orientations. Color data which is common to different objects or to a background color may be excluded. Further, a template can be used as an additional aid in identifying the representation of the object. The template can include, e.g., a model of the object or pixel data of the object from a prior image.