Real Time Video Based Alerts

Existing digital video surveillance systems provide the infrastructure only to capture, store and distribute video, while leaving the task of threat detection exclusively to human operators. Human monitoring of surveillance video is a very labor-intensive task.  It is generally agreed that watching video feeds requires a higher level of visual attention than most every day tasks. One of the conclusions of a recent study by the US National Institute of Justice, into the effectiveness of human monitoring of surveillance video, is as follows

“These studies demonstrated that such a task[..manually detecting events in surveillance video], even when assigned to a person who is dedicated and well-intentioned, will not support an effective security system.  After only 20 minutes of watching and evaluating monitor screens, the attention of most individuals has degenerated to well below acceptable levels. Monitoring video screens is both boring and mesmerizing. There are no intellectually engaging stimuli, such as when watching a television program.”

3. Abandoned Object Alert (Video 3M): This detects objects which are abandoned, e.g., a piece of unattended baggage in an airport, or a car parked in a loading zone.

4. Object Removal (Video 3.5M): This detects movements of a user-specified object that is not expected to move, for example, a painting in a museum.

5.  Camera blind/remove (video 3.4M): This detects blind or movements of the camera and save a number of frames (defined by users) before the events happened.
 

Other Research Areas:

• Robust Background Subtraction
• Salient Motion Detection 
• Object Classification 
• 2D Tracking 
• 3D Multi-Person Tracking 
• Articulated Human Body Tracking 
• Active Head Tracking
• Coarse Head Pose Estimation 
• Position Independent Absolute Head Pose Estimation
• Face Cataloger
• Video Privacy
• Multi-scale Tracking & Index Browser
  
• Middleware for Large Scale Surveillance (MILS)
• Performance Evaluation of Surveillance Systems