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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Difference method can also be used for initial segmentation in multi-object detection and tracking or be integrated with other methods.

一般采用差分法作为多目标检测与跟踪的初始分割，或者与其他方法结合使用。

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A new multi-object vehicle tracking algorithm suited for traffic surveillance is presented based on two kinds of object tracking algorithms (region tracking and corner tracking).

将现有两种目标跟踪算法(区域跟踪和角点跟踪)进行改进，提出一种适合于交通场景下的多目标(车辆)跟踪算法。

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