MIT多个摄像机视觉轨迹数据集

MIT trajectory data set is for the research of activity analysis in multiple single camera view using the trajectories of objects as features. Object tracking is based on background subtraction using a Adaptive Gaussian Mixture model. There are totally four camera views. Trajectories in different camera views have been synchronized. The data can be downloaded from the following link, Please cite as: X. Wang, K. Tieu and E. Grimson, Correspondence‐Free Activity Analysis and Scene Modeling in Multiple Camera Views, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 32, pp. 56-71, 2010..

MIT轨迹数据集（MIT trajectory data set）旨在以物体轨迹为特征，开展多单摄像机视角的活动分析研究。该数据集的目标跟踪基于采用自适应高斯混合模型（Adaptive Gaussian Mixture model）的背景减除方法实现。本数据集共包含4个摄像机视角，不同视角下的轨迹已完成同步。数据集可通过以下链接下载，引用格式如下：X. Wang、K. Tieu与E. Grimson，《无对应关系的多摄像机视角活动分析与场景建模》，载于《IEEE模式分析与机器智能汇刊》（IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI），第32卷，第56-71页，2010年。