MIT Traffic Data Set

 

Download

MIT traffic data set is for research on activity analysis and crowded scenes. It includes a traffic video sequence of 90 minutes long. It is recorded by a stationary camera. The size of the scene is 720 by 480. It is divided into 20 clips and can be downloaded from the following links.

MIT traffic videos

In order to evaluate the performance of human detection on this data set, ground truth of pedestrians of some sampled frames are manually labeled. It can be downloaded below. A readme file provides the instructions of how to use it.

Ground truth of pedestrians

Reference

Please cite as:

X. Wang, X. Ma and E. Grimson, Unsupervised Activity Perception in Crowded and Complicated scenes Using Hierarchical Bayesian Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, pp. 539-555, 2009.

When using the ground truth of pedestrians, please cite

M. Wang and X. Wang, "Automatic Adaptation of a Generic Pedestrian Detector to a Specific Traffic Scene," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

Literature

  1. X. Wang, X. Ma and E. Grimson, Unsupervised Activity Perception by Hierarchical Bayesian Models, in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
  2. X. Wang, X. Ma and E. Grimson, Unsupervised Activity Perception in Crowded and Complicated scenes Using Hierarchical Bayesian Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, pp. 539-555, 2009.
  3. I. Saleemi, L. Hartung, and M. Shah, "Scene Understanding by Statistical Modeling of Motion Patterns," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  4. M. Wang and X. Wang, "Automatic Adaptation of a Generic Pedestrian Detector to a Specific Traffic Scene," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2011.