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    • 1. 发明授权
    • Integrated systems and methods for video-based object modeling, recognition, and tracking
    • 用于基于视频的对象建模,识别和跟踪的集成系统和方法
    • US08170280B2
    • 2012-05-01
    • US12327589
    • 2008-12-03
    • Liang ZhaoMatthew G. Berry
    • Liang ZhaoMatthew G. Berry
    • G06K9/00G06F3/00
    • G06K9/6255G06K9/00295G06K9/00711G06T7/248G06T7/40G06T2207/10016G06T2207/20081G06T2207/30201
    • The present disclosure relates to systems and methods for modeling, recognizing, and tracking object images in video files. In one embodiment, a video file, which includes a plurality of frames, is received. An image of an object is extracted from a particular frame in the video file, and a subsequent image is also extracted from a subsequent frame. A similarity value is then calculated between the extracted images from the particular frame and subsequent frame. If the calculated similarity value exceeds a predetermined similarity threshold, the extracted object images are assigned to an object group. The object group is used to generate an object model associated with images in the group, wherein the model is comprised of image features extracted from optimal object images in the object group. Optimal images from the group are also used for comparison to other object models for purposes of identifying images.
    • 本公开涉及用于在视频文件中建模,识别和跟踪对象图像的系统和方法。 在一个实施例中,接收包括多个帧的视频文件。 从视频文件中的特定帧提取对象的图像,并且还从后续帧中提取后续图像。 然后在从特定帧和随后帧的提取的图像之间计算相似度值。 如果所计算的相似度值超过预定的相似性阈值,则将所提取的对象图像分配给对象组。 对象组用于生成与组中的图像相关联的对象模型,其中模型包括从对象组中的最佳对象图像提取的图像特征。 为了识别图像,该组的最佳图像也用于与其他对象模型进行比较。