全景图像上的运动物体跟踪

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035036

P. Foldesy, I. Szatmári, Á. Zarándy

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引用次数: 3

摘要

类比CNN算法与称为PAL光学的全景成像设备的特殊特性相结合。由此产生的系统能够实时识别和跟踪360度视场中的移动物体。图像处理引擎为ALADDIN系统，采用64/spl倍/64阵列大小的CNNUM芯片。作为图像传感器，我们在一个实验中测试了CNNUM芯片的光输入，在其他情况下，我们使用普通相机。

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Moving object tracking on panoramic images

Analogic CNN algorithms are combined with the special properties of a panoramic imaging device called PAL optics. The resulting system is capable to identify and track moving objects in 360 degrees field of view real-time. Image processing engine was the ALADDIN system with a 64/spl times/64 array size CNNUM chip. As the image sensor, we tested the optical input of the CNNUM chip in one experiment, and in other cases, we used a regular camera.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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