Dr. Mubarak Shah, Agere Chair Professor of Computer Science, is the founding director of the Computer Visions Lab at UCF. He is a co-author of two books (Motion-Based Recognition (1997) and Video Registration (2003)) both by Kluwer Academic Publisher.  Dr. Shah is a fellow of IEEE, IAPR and SPIE. In 2006, he was awarded a Pegasus Professor award, the highest award at UCF, given to a faculty member who has made a significant impact on the university, has made an extraordinary contribution to the university community, and has demonstrated excellence in teaching, research and service. He was an IEEE Distinguished Visitor speaker for 1997-2000 and received IEEE Outstanding Engineering Educator Award in 1997. He received the Harris  Corporation's Engineering Achievement Award in 1999, the TOKTEN awards from UNDP in 1995, 1997, and 2000; Teaching Incentive Program award in 1995 and 2003, Research Incentive Award in 2003, Millionaires' Club  awards in 2005 and 2006, University Distinguished Researcher award in 2007,  SANA award in 2007, an honorable mention for the ICCV 2005 Where Am I? Challenge Problem, and was nominated for the best paper award in ACM Multimedia Conference in 2005.  He is an editor of international book series on Video Computing; editor in chief of Machine Vision and Applications journal, and an associate editor of ACM Computing Surveys journal. He was an associate editor of the IEEE Transactions on PAMI, and a guest editor of the special issue of International Journal of Computer Vision on Video Computing. He is the program co-chair of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

• Recognizing Actions, Objects, and Actions as Objects:

  Recognition of human actions from video sequences is a very popular in Computer Vision. Since an action takes place in 3-D, and is projected on a sequence of 2-D images, the projected 2-D motion may vary depending on the viewpoint of the cam...

• Taming Crowded Visual Scenes :

  Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most of the current approaches assume that the observed scene is not crowded, and that reliable tracks of objects are available over longer duratio...

• Tracking Across Multiple Moving Cameras:

  The concept of a cooperative multi-camera system, informally a ‘forest’ of sensors, has recently received increasing attention from the research community. This idea is of great practical relevance, since cameras typically have li...

• Video Surveillance and Monitoring :

  Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding video sequences, e.g., recognition of ...