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Intersection Monitoring |
Detection and
Classification
of Vehicles |
Real-time Tracking |
Driver Fatigue Monitoring |
Overview
Monitoring crowded urban
environments is a vital goal for many of today's vision systems.
Knowing the size of crowds and tracking their motion has many
applications. For example at traffic intersections, intelligent
walk-signal systems could
be designed based on the number of people waiting to cross. Also, the
knowledge of the number of people walking through a crowded area, e.g.,
outside a school or outside the premises of a public event can be
helpful in planning urban
environments, general safety, and crowd control. We estimate accurately
the counts of people in a scene without constraining ourselves to
individuals. This includes dense groups of people moving together. We
do this in real-time and place no
constraints as far as camera placement or about the size of the groups
as far as number of people.
Publications:
- Computer Vision Algorithms for monitoring crowded scenes. (PDF)
- B. Maurin, O. Masoud, N.P. Papanikolopoulos. Computer Vision Algorithms for monitoring crowded scenes. IEEE Robotics & Automation Magazine special issue on Robotic Technologies applied to Intelligent Transportation Systems, Dec. 2003.
B. Maurin, O. Masoud, N.P. Papanikolopoulos. Monitoring crowded traffic scenes. In Proc. IEEE 5th International
Conference on Intelligent Transportation Systems, pp.19-24, Singapore, Sep. 2002.
Camera surveillance of crowded traffic scenes. (PDF)
B. Maurin, O. Masoud, N.P. Papanikolopoulos. Camera surveillance of crowded traffic scenes. In Proc. ITS America
12th Annual Meeting, pp. 28, Long Beach, CA, Apr. 2002.
Demos:
Crowded pedestrian sidewalk (33.4M)
Counting people in a group Movie 1(9.0M)
Counting people in a group Movie 2(6.4M)
Counting people in a group Movie 3 (2.9M)
People:
Faculty Nikolaos
Papanikolopoulos |
Research AssociateOsama
Masoud |
| Graduate StudentsPrahlad Kilambi |