The project started at the University of Maryland, where Margrit Betke was a postdoctoral researcher, working with Larry S. Davis and Esin Haritaoglu. She later collaborated with Huan Nguyen from Boston College on some extensions of the project. Her student William Mullally eventually started a project on analyzing the face and eyes of a driver.
In these videos, each detected car is automatically annotated with a white frame. Each detected object that is potentially a car is annotated with a black frame. The linear approximations of lane markers are used to establish regions of interest for the car detector. Cars in front are detected reliably. Cars in other lanes can be detected reliably only in highway scenes or scenes with sufficient visibility. In the tunnel sequence, the apparent size of passing cars is larger than the modeled size. Passing cars are thus not detected correctly.
B. Mullally, M. Betke, "Preliminary Investigation of Real-Time Monitoring of a Driver in City Traffic." Proceedings of the IEEE International Conference on Intelligent Vehicles, Dearborn, MI, October 2000. pdf (color), pdf (IEEE version), ps.Z, ps.
M. Betke, E. Haritaoglu and L. S. Davis, "Real-Time Multiple Vehicle Detection and Tracking from a Moving Vehicle." Machine Vision and Applications, 12:2, pp. 69-83, September 2000. pdf (restricted access).
M. Betke and H. Nguyen, "Highway Scene Analysis from a Moving Vehicle under Reduced Visibility Conditions," IEEE International Conference on Intelligent Vehicles, Stuttgart, Germany, October 1998. pdf (color).
M. Betke, E. Haritaoglu and L. Davis, "Highway Scene Analysis." Proceedings of the IEEE Conference on Intelligent Transportation Systems, ITSC'97, pp. 812-817, Boston, November 1997. pdf.
M. Betke, E. Haritaoglu and L. S. Davis, "Multiple Vehicle Detection and Tracking in Hard Real Time." IEEE Symposium on Intelligent Vehicles, pp. 351-356, Tokyo, Japan, September 1996. pdf.
Margrit Betke, Associate Professor
Computer Science Department
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Last updated: March 15, 2007