object tracking and recognition 目标跟踪和识别
Object recognition and tracking is an important research sub-field in computer vision, which has attracted great concerns of researchers.
目标识别与跟踪属于计算机视觉研究领域的一个重要分支,引起了学者们的高度关注。
Its mainly research topics include moving object detection, moving object recognition and tracking, abnormal behavior detection and alarm.
主要研究内容包括运动物体的检测、运动物体的识别和跟踪、异常现象的检测和报警等。
This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.
考虑到单传感器的系统存在着局限性,提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统,以利用数据的互补和冗余。
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