Mather G
Laboratory of Experimental Psychology, University of Sussex, Brighton, UK.
Spat Vis. 1990;5(1):1-14. doi: 10.1163/156856890x00057.
Schemes for motion detection fall into two classes. Reichardt correlators compare spatial luminance patterns at two locations at different times; gradient detectors compare spatial and temporal luminance gradients. Both are candidate operators for biological and machine vision systems. A large body of perceptual data exists, defining the properties of motion detectors used by human observers, which can form a basis for determining which class of detector is appropriate for the human visual system. Plausible versions of each detector were implemented, and their responses to a variety of two-frame stimuli were computed. Results indicated that both detectors can predict most of the data, but on balance gradient detectors offer the best working hypothesis for motion detection by human observers. This conclusion is necessarily limited to the type of stimuli used, and may require modification in the light of responses to continuously moving stimuli.
运动检测方案可分为两类。赖夏德相关器比较不同时间两个位置的空间亮度模式；梯度检测器比较空间和时间亮度梯度。两者都是生物和机器视觉系统的候选算子。存在大量感知数据，定义了人类观察者使用的运动检测器的属性，这可为确定哪类检测器适用于人类视觉系统提供依据。实现了每种检测器的合理版本，并计算了它们对各种双帧刺激的响应。结果表明，两种检测器都能预测大部分数据，但总体而言，梯度检测器为人类观察者进行运动检测提供了最佳工作假设。这一结论必然仅限于所使用的刺激类型，并且可能需要根据对连续移动刺激的响应进行修改。
