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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds
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A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds

机译：鲁棒的视觉系统，用于在运动背景混乱的情况下进行小目标运动检测

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摘要

Monitoring small objects against cluttered moving backgrounds is a huge challenge to future robotic vision systems. As a source of inspiration, insects are quite apt at searching for mates and tracking prey, which always appear as small dim speckles in the visual field. The exquisite sensitivity of insects for small target motion, as revealed recently, is coming from a class of specific neurons called small target motion detectors (STMDs). Although a few STMD-based models have been proposed, these existing models only use motion information for small target detection and cannot discriminate small targets from small-target-like background features (named fake features). To address this problem, this paper proposes a novel visual system model (STMD+) for small target motion detection, which is composed of four subsystems-ommatidia, motion pathway, contrast pathway, and mushroom body. Compared with the existing STMD-based models, the additional contrast pathway extracts directional contrast from luminance signals to eliminate false positive background motion. The directional contrast and the extracted motion information by the motion pathway are integrated into the mushroom body for small target discrimination. Extensive experiments showed the significant and consistent improvements of the proposed visual system model over the existing STMD-based models against fake features.
机译：监视杂乱的移动背景下的小物体是未来机器人视觉系统的巨大挑战。作为灵感的来源，昆虫很容易寻找伴侣并追踪猎物，这些猎物在视野中总是像小斑点一样出现。最近发现，昆虫对小目标运动的灵敏性来自一类称为小目标运动检测器（STMD）的特定神经元。尽管已经提出了一些基于STMD的模型，但是这些现有模型仅将运动信息用于小目标检测，而无法将小目标与类似小目标的背景特征（称为假特征）区分开。为了解决这个问题，本文提出了一种用于小目标运动检测的新型视觉系统模型（STMD +），该模型由四个子系统组成：眼球，运动路径，对比路径和蘑菇体。与现有的基于STMD的模型相比，附加的对比度路径从亮度信号中提取方向对比度，以消除错误的正背景运动。方向对比度和通过运动路径提取的运动信息被集成到蘑菇体内，以实现较小的目标分辨力。大量的实验表明，相对于现有的基于STMD的假特征模型，该视觉系统模型具有显着而一致的改进。

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