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AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD

机译:自动化目标检测与识别系统及方法

摘要

Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.
机译:提供了用于识别所捕获图像中的特定感兴趣对象的方法和设备。在捕获的图像中检测到与感兴趣的对象相关的一个或多个显着特征。所捕获的图像被分割成包括检测到的显着特征的一个或多个关注区域。为一个或多个感兴趣区域的每一个生成协方差外观模型,并进行第一和第二比较。第一比较包括将每个生成的协方差外观模型与多个存储的协方差外观模型进行比较,并且第二比较包括将每个生成的协方差外观模型与每个其他生成的协方差外观模型进行比较。基于第一和第二比较,确定一个或多个检测到的显着特征中的每一个是否是特定的关注对象。

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