The Mechanism of Motion Direction Detection from Gray Images
The Mechanism of Motion Direction Detection from Gray Images
复制标题
DOI：
10.1145/3483207.3483210
复制
发表时间：
2021-08
期刊：
影响因子：
--
通讯作者：
Yuxiao Hua;Riku Inoue;Cheng Tang;Yuki Todo;Zheng Tang
中科院分区：
文献类型：
--
作者：
Yuxiao Hua;Riku Inoue;Cheng Tang;Yuki Todo;Zheng Tang
视觉系统在人类的日常生理活动中起着重要的作用。因为人们从外界接收到的大部分信息都是由视觉系统产生的。而运动方向的检测是计算机模拟人类视觉系统的关键。然而，运动方向检测的机制仍然是一个谜。为了实现人体的运动方向检测，本文提出了一种由视网膜细胞获得的局部方向信息推导出全局方向的运动方向检测机制。假设在这个机制中有神经元对每个特定方向的局部运动做出反应。该机制的主要思想是通过从这些神经元中提取物体的局部运动方向信息来导出全局运动方向。通过树突神经元模型对其机理进行了模拟，并通过各种实验验证了其准确性。实验结果表明，该机构能够准确检测灰度背景下不同形状、方向、位置和大小物体的运动方向。
The visual system plays an important role in the daily physiological activities of human beings. Because most of the information that people receive from the outside world is generated by the visual system. And the detection of motion direction is the key for researchers to simulate the human visual system by computer. However, the mechanism of motion direction detection remains mysterious. In this paper, a motion direction detection mechanism that can derive global orientation from local orientation information obtained by cells in the retina is proposed to achieve motion direction detection in humans. Assuming that there are neurons in this mechanism that respond to the local movement in each specific direction. The main idea of this mechanism is to derive the global motion direction by extracting local motion direction information of the object from these neurons. The mechanism is simulated by the dendritic neuron model, and we verified the accuracy by conducting various experiments. The results that the mechanism accurately detected the motion direction of the object in all experiments show that this mechanism can accurately detect the motion direction of objects with different shapes, orientations, positions, and sizes in a grayscale background.