VisEvent

该数据集是一个大规模的基准数据集，旨在训练和评估可见事件追踪算法。它包含了在低光照、高速度和复杂背景情境下捕获的820对视频。其中，有709个视频用于短期追踪，111个视频用于长期追踪。数据集总共定义了17个属性，反映了各种挑战和条件。该数据集规模庞大，含有820对视频，其任务是对物体进行追踪。

This dataset is a large-scale benchmark dataset designed for training and evaluating visible event tracking algorithms. It contains 820 pairs of videos captured under low-light, high-speed, and complex background conditions, with 709 videos allocated for short-term tracking and 111 for long-term tracking. A total of 17 attributes are defined in the dataset to reflect various challenging scenarios and conditions. Boasting a large scale including 820 pairs of videos, its core task is object tracking.

搜集汇总

背景与挑战

背景概述

VisEvent是首个融合RGB和事件相机的大规模目标跟踪数据集，包含820个视频对，覆盖低光照、高速运动等复杂场景。数据集提供双模态数据、基线方法和评估工具，旨在推动跨模态跟踪算法的研究。