基于生长神经气体的智能机器人视觉多目标检测

H. Sasaki, N. Kubota, K. Sekiyama, T. Fukuda
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引用次数: 10

摘要

最近,各种类型的机器人已经被研究和开发来支持我们的生活。同时,对机器人的感知系统进行了研究。视觉感知包含了大量有价值的信息,对所有智能机器人系统都是有用的。本文主要讨论了智能机器人视觉,以检测多目标和人。有许多视觉传感器,我们使用距离成像相机来检测距离和图像数据。提出了一种基于生长神经气体和遗传算法的运动目标感知方法。实验结果表明,我们的方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple object detection for intelligent robot vision by using growing neural gas
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to detect multiple object and human. There are many visual sensors and we use the range-imaging camera to detect distance and image data. We propose a method for perceive moving target by using growing neural gas and Genetic algorithm. In the experimental results, we show the potency of our method.
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