Dynamic vision sensor is a kind of bioinspired sensor. It has the characteristics of fast response, large dynamic range, and asynchronous output event stream. These characteristics make it have advantages that traditional image sensors do not have in the field of tracking. The output form of the dynamic vision sensor is asynchronous event stream, and the object information needs to be provided by the relevant event cluster. This article proposes a method based on the event correlation index to obtain the object’s position, contour, and other information and is compatible with traditional tracking methods. Experiments show that this method can obtain the position information of the moving object and its continuous motion trajectory and analyze the influence of the parameters on the tracking effect. This method will have broad application prospects in security, transportation, etc.

中文翻译：

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基于事件相关指数的动态视觉传感器跟踪方法

动态视觉传感器是一种受生物启发的传感器。它具有响应速度快，动态范围大和异步输出事件流的特点。这些特性使其具有传统图像传感器在跟踪领域所没有的优势。动态视觉传感器的输出形式是异步事件流，并且对象信息需要由相关事件集群提供。本文提出了一种基于事件相关指数的方法来获取对象的位置，轮廓和其他信息，并且该方法与传统的跟踪方法兼容。实验表明，该方法可以获得运动物体的位置信息及其连续运动轨迹，并分析了参数对跟踪效果的影响。