Map interface for geo-registering and monitoring distributed events

While there have been many advances in intelligent monitoring, it is still difficult to understand complex environments without human assistance. Rather than focus on fully automated monitoring, this work advocates user-centered analysis. A standardized analysis environment for visual fusion and embedding of information is developed called CANVAS (Contextual Activity Notification Visualization Analysis System). CANVAS provides a user interaction interface for instantaneous feedback of contextual processing units which enables high level semantic extraction and understanding. This assistive tool utilizes advanced monitoring techniques to provide the desirable context necessary for decision making and planning. In addition, it takes advantage of web-based technology for ubiquitous accessibility.

[1]  Mohan M. Trivedi,et al.  A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  E. Boer,et al.  A collaborative approach for human-centered driver assistance systems , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[3]  Sergio A. Velastin,et al.  How close are we to solving the problem of automated visual surveillance? , 2008, Machine Vision and Applications.

[4]  Tarak Gandhi,et al.  Distributed interactive video arrays for event capture and enhanced situational awareness , 2005, IEEE Intelligent Systems.

[5]  Ali T. Ali,et al.  Global positioning systems data for performance evaluation of HOV and GP lanes on I-66 and I-395/I-95 , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[6]  Mohan M. Trivedi,et al.  Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video , 2008, IEEE Transactions on Intelligent Transportation Systems.

[7]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision: From Images to Geometric Models , 2003 .

[8]  Michael A. Goodrich,et al.  Comparing Situation Awareness for Two Unmanned Aerial Vehicle Human Interface Approaches , 2006 .

[9]  Michael A. Goodrich,et al.  Supporting wilderness search and rescue using a camera‐equipped mini UAV , 2008, J. Field Robotics.

[10]  Mohan M. Trivedi,et al.  Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis , 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.