MIT Trajectory Data Set - Multiple Camera Views
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..