Kaken Project -
Content Repurposing for Adaptive Browsing in Intelligent Surveillance

1.Introduction  
The CRABIS project targets at providing a solution for automatic generation of informative and personalized field video reports for future intelligent multiview environments, e.g. surveillance, which is supported by the MEXT Grant-in-Aid for Young Scientists (B) No.26730086 from year 2014 to 2017. In this page, we will record the whole research/ development progress of this project.  
2.Tasks, Methods, and Results  
  2.1 Multi-view Object Tracking  
  2.2 Anomaly Detection and Scene Understanding  
    2.2.1 Anomaly Detection at Pixel Level  
track-result  
      
 
      Jan. 20, 2015 Anomaly Detection by Using Random Projection Forest.  
    2.2.2 Anomaly Detection at Trajectory Level  
  2.3 Queriable Event Representation  
    2.3.1 Event Representation for Query-by-Case  
    2.3.2 Event Representation for Query-by-Grammar  
  2.4 Multi-view Video Summarization for Adaptive Browsing  
    2.4.1 Spatial-temporal Reorganization  
    2.4.2 Personalized Event Query in Video Summarization  
  2.5 Interface Design and Implementation  
3. Related Publications(Full Publication List)  

a) F. Chen, Z. Liu and M.T. Sun, "Anomaly Detection by Using Random Projection Forest", ICIP 2015, Paper ID 271, (Accepted) Sep. 2015.

 
      
 
5.Related Links  
Author's Homepage  
KAKEN Prime Project  
Jaist Homepage  
      
 
Extra Information  
Note: All demo videos are encoded in xvid mpeg 4 format. If you could not replay the demo video, please download the latest vlc media player for your os or other proper players. Get VLC Media Player







Maintained by chen-fan AT jaist.ac.jp. Created on 2014-7-10. Last update 2015-02-05
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