Location of Repository

Video Volume Segmentation for Event Detection

By Jing Wang, Zhijie Xu and Qian Xu


Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the pre-processing of the original video data. An evaluation on the performance of the developed methods is presented at the end

Topics: T1
Publisher: IEEE Computer Society
Year: 2009
OAI identifier: oai:eprints.hud.ac.uk:7601

Suggested articles



  1. (2004). A unified approach for motion analysis and view synthesis," doi
  2. (2005). Actions as objects: a novel action representation," CVPR, doi
  3. (2007). Actions as space-time shapes," doi
  4. (2005). Actions as space-time shapes," ICCV, doi
  5. (2003). and K.Ikeuchi, "Panoramic-view and epipolarplane image understandings for street-parking vehicle detection," ITS Symposium,
  6. (2008). and P.Meer, "Learning on lie Group for invariant detection and tracking," CVPR, doi
  7. (2001). C.K.Tang and H.Y.Shum, "Efficient dense depth estimation from dense multi-perspective panoramas," ICCV, VOl.1, doi
  8. (2008). Constant time O(1) bilateral filtering," CVPR, doi
  9. (1981). Determining Optical Flow," doi
  10. (2006). Evaluating stereo and motion cues for visualizing information nets in three dimensions," doi
  11. (2006). Free viewpoint action recognition using motion history volumes," doi
  12. (1988). Generalizing epipolar plane image analysis on the spatio-temporal surface," n doi
  13. (2006). Intelligent distributed video surveillance system," The Institution of Electrical Engineers, doi
  14. (2003). K.Hirahara and M.Kahesawa, "Ego-motion estimation for efficient city modeling using epipolar plane range image analysis," in TSWC
  15. (2004). K.Ikeuchi and M.Sakauchi, "Enhanced navigation systems with real images and real-time information,"
  16. (2001). Motion-based segmentation and contour based classification of video objects," doi
  17. (2002). Open source computer vision library reference manual," ,
  18. (1973). Pattern classification and scene analysis," doi
  19. (2006). Shape representation and classification using the poisson equation,"
  20. (2002). Shift: A robist approach toward feature space analysis," doi
  21. (1985). Spatiotemporal energy models for the perception of motion,"
  22. (2003). T.C.Pong and H.J.Zhang, "Motion analysis and segmentation through spatio-temporal slice processing," doi
  23. (1975). The estimation of the gradient of a density function, with applications in pattern recognition," doi
  24. (2001). The recognition of human movement using temporal templates," doi
  25. (1988). W.Andrew and T.Demetri, "Snakes: Active contour models," doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.