Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bound...
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry S. Davi...
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
Wael Abd-Almageed, Mohamed E. Hussein, Larry S. Da...
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...