Locating the scene: the particular and the general in contexts for ambulance control
GROUP '97 Proceedings of the international ACM SIGGROUP conference on Supporting group work: the integration challenge
Augmented Virtual Environments (AVE): Dynamic Fusion of Imagery and 3D Models
VR '03 Proceedings of the IEEE Virtual Reality 2003
3D video surveillance with Augmented Virtual Environments
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Visual contextualization and activity monitoring for networked telepresence
Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence
Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Pedestrian Detection via Periodic Motion Analysis
International Journal of Computer Vision
DOTS: support for effective video surveillance
Proceedings of the 15th international conference on Multimedia
Contextualized Videos: Combining Videos with Environment Models to Support Situational Understanding
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
A survey on behavior analysis in video surveillance for homeland security applications
AIPR '08 Proceedings of the 2008 37th IEEE Applied Imagery Pattern Recognition Workshop
Machine Vision Application to Automatic Intruder Detection Using CCTV
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Controller-free exploration of medical image data: Experiencing the Kinect
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
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Research on surveillance systems' capability in mapping imagery data into geometric model, creation of coherent data visualization and adaptability on different hardware and software platforms has been quite intensive in the past few years. Conventional surveillance solutions are struggling to cope with drastic increase of imaging sensors deployed in larger scale environment, causing severe operators' cognitive overload and longer response time to events triggered. Currently, there is lack of study on the human subject and effectiveness of large scale surveillance network. In the present study, a new user-centric ergonomic surveillance system with location identification consists of Context Awareness Environment (CAE) and Motion based Control Navigator (MCN) is proposed to give concise and consistent interactive representation with all the imagery sensor inputs in a human familiar structure model with actual scene information augmented as well as realistic navigation experience using body gestures respectively. Both CAE and MCN components are evaluated by experimental results that measure performance as a function of identifying event happened location and navigating in augmented virtual environment system, respectively.