Novel method of extracting motion from natural movies
Novel method of extracting motion from natural movies
复制标题
从自然电影中提取运动的新方法
DOI：
10.1016/j.jneumeth.2017.08.006
复制
发表时间：
2017
影响因子：
3
通讯作者：
Takeichi Hiroshige
中科院分区：
文献类型：
--
作者：
Suzuki Wataru;Ichinohe Noritaka;Tani Toshiki;Hayami Taku;Miyakawa Naohisa;Watanabe Satoshi;Takeichi Hiroshige
研究背景灵长类动物的视觉系统分为运动通路和形状通路。相互作用发生在沿着这些途径的多个阶段。运动恢复形状和生物运动的处理被认为是一个涉及运动和形状信息的高阶集成过程。然而，相对有限的类型的刺激已经在以前的研究中使用这些整合processes.New methodWe提出了一种新的算法，从自然电影中提取对象的运动信息，并根据信息移动随机点。通过估计投影到电影x-y平面上的图像强度的局部法向量的动态特性来提取目标运动信息。（Callithrix jacchus）的研究表明，用这种新算法生成的自然和随机点电影在中时视觉区产生了可比较的神经反应。该算法为任意自然电影提供包含形状信息的随机点运动刺激。这种新的方法有望扩大神经生理学和心理物理学的实验协议，以阐明在生物system.ConclusionsThe新算法提出的运动和形状信息的整合处理是有效的，在这里提取对象的运动信息从自然电影，并提供新的运动刺激，调查高阶运动信息处理。
BackgroundThe visual system in primates can be segregated into motion and shape pathways. Interaction occurs at multiple stages along these pathways. Processing of shape-from-motion and biological motion is considered to be a higher-order integration process involving motion and shape information. However, relatively limited types of stimuli have been used in previous studies on these integration processes.New methodWe propose a new algorithm to extract object motion information from natural movies and to move random dots in accordance with the information. The object motion information is extracted by estimating the dynamics of local normal vectors of the image intensity projected onto thex-yplane of the movie.ResultsAn electrophysiological experiment on two adult common marmoset monkeys (Callithrix jacchus) showed that the natural and random dot movies generated with this new algorithm yielded comparable neural responses in the middle temporal visual area.Comparison with existing methodsIn principle, this algorithm provided random dot motion stimuli containing shape information for arbitrary natural movies. This new method is expected to expand the neurophysiological and psychophysical experimental protocols to elucidate the integration processing of motion and shape information in biological systems.ConclusionsThe novel algorithm proposed here was effective in extracting object motion information from natural movies and provided new motion stimuli to investigate higher-order motion information processing.