论文标题
用于录制和跟踪框架和事件摄像头的鱼类的立体观念系统
Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras
论文作者
论文摘要
这项工作介绍了使用常规摄像机和事件摄像机的多动画视觉数据获取的共同捕获系统。事件摄像机比基于框架的摄像机具有多个优势，例如高时间分辨率和时间冗余抑制，这使我们能够有效地捕获鱼类的快速且不稳定的运动。我们还提供了一种基于事件的多动物跟踪算法，该算法证明了该方法的可行性，并为进一步探索了将事件摄像机和传统摄像机的优势进一步探索用于多动物跟踪的基线。
This work introduces a co-capture system for multi-animal visual data acquisition using conventional cameras and event cameras. Event cameras offer multiple advantages over frame-based cameras, such as a high temporal resolution and temporal redundancy suppression, which enable us to efficiently capture the fast and erratic movements of fish. We furthermore present an event-based multi-animal tracking algorithm, which proves the feasibility of the approach and sets the baseline for further exploration of combining the advantages of event cameras and conventional cameras for multi-animal tracking.
