Intelligent Transportation Systems: Real-time Tracking

Artificial Intelligence, Robotics, and Vision Lab
University of Minnesota, Minneapolis, Minnesota

Moving Shadow Detection with Low- and Mid-Level Reasoning. (PDF)

A. Joshi, S. Atev, O. Masoud, N. Papanikolopoulos. Moving Shadow Detection with Low- and Mid-Level Reasoning. In Proc. IEEE Int'l. Conf. Robotics and Automation (ICRA 2007), Apr. 2007.

Practical Mixtures of Gaussians with Brightness Monitoring. (PDF)

S. Atev, O. Masoud, N. Papanikolopoulos. Practical Mixtures of Gaussians with Brightness Monitoring. In Proc. IEEE Conf. Intell. Transport. Syst. (ITSC 2004), pp. 423−428, Oct. 2004.

A novel method for tracking and counting pedestrians in real-time using a single camera. (PDF)

O. Masoud,  N. P. Papanikolopoulos. A novel method for tracking and counting pedestrians in real-time using a single camera. IEEE Trans. on Vehicular Technology, vol. 50, no. 5, pp. 1267-1278, Sep. 2001. 

(Awarded the IEEE Vehicular Technology Society Best Land Transportation Paper Award, March 2002)

Robust Pedestrian Tracking using a model-based approach. (PDF)

O. Masoud, and N. P. Papanikolopoulos. Robust Pedestrian Tracking using a model-based approach. in Proc. IEEE Conference on Intelligent Transportation Systems, Boston, MA, pp. 338-343, Nov. 1997.

A Robust real-time multi-level model-based pedestrian tracking system. (PDF)

O. Masoud, and N. P. Papanikolopoulos. A Robust real-time multi-level model-based pedestrian tracking system. In Proc. ITS America Seventh Annual Meeting, Washington, DC, pp. 47, Jun. 1997. 

Pedestrian tracking from a stationary camera using active deformable models. (PDF)

M.J. Sullivan, C.A. Richards, C.E. Smith, O. Masoud, N.P. Papanikolopoulos. Pedestrian Tracking from a stationary camera using active deformable models. In Proc. Intelligent Vehicles ’95, pp. 90-95, Detroit, MI, Sep. 1995.