A novel method for infrared object robust tracking based on particle filters was proposed.
提出了一种基于粒子滤波的红外目标稳健跟踪新方法。
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。
This control system can provide automatic flying object tracking and measuring in visible and infrared band. It also can provide real-time output of the measured results.
该系统可以在可见和红外波段对飞行目标进行跟踪测量，还可对测量结果实时输出。
To overcome the weak object feature description ability of existing human tracking methods in infrared images, a PHOG-based human tracking algorithm is designed.
③对红外图像序列中的人体跟踪问题进行研究，根据红外图像的成像特点，提出了一种鲁棒的红外人体跟踪算法。
To overcome the weak object feature description ability of existing human tracking methods in infrared images, a PHOG-based human tracking algorithm is designed.
③对红外图像序列中的人体跟踪问题进行研究，根据红外图像的成像特点，提出了一种鲁棒的红外人体跟踪算法。
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