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Hierarchical information fusion object recognition system and method

机译:分层信息融合目标识别系统及方法

摘要

A hierarchical object recognition method for aggregation, interpretation and classification of information from multiple sensor sources on the detection feature attribute level. The system extracts information derived from each sensor source to obtain detections and their feature attributes. At least two processing streams, one for each sensor source, are provided for converting the detections and their feature attributes into hypotheses on identity and class of detected objects. The detections are shared and combined between the two processing streams using hierarchical information fusion algorithms to determine which ones of the hypotheses on identity and class of detected objects have sufficient probabilities for classifying the information.
机译:一种用于在检测特征属性级别上聚合,解释和分类来自多个传感器源的信息的分层对象识别方法。该系统提取从每个传感器源获得的信息以获得检测及其特征属性。提供至少两个处理流,每个传感器源一个,用于将检测及其特征属性转换为关于所检测对象的身份和类别的假设。使用分层信息融合算法在两个处理流之间共享检测并进行合并,以确定关于被检测对象的身份和类别的假设中的哪些假设具有足够的概率来对信息进行分类。

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