MIT Trajectory Data Set - Single Camera View
MIT trajectory data set is for the research of activity analysis in a 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 40,453 trajectories obtained from a parking lot scene within five days. Some short trajectories have been filtered. The data can be downloaded from the following link,
Please cite as:
X. Wang, K. T. Ma, G. Ng and E. Grimson, Trajectory Analysis and Semantic Region Modeling Using A Nonparametric Bayesian Model, in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008..