SVM Tutorials

Currently working on unknown action classification based on the output of SVM classifier for known action classes. Basic idea is how to segregate unknown actions from the known actions given the knowledge that we already have.

Below is a link with tutorial with good SVM tutorials.

http://svms.org/tutorials/


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Experimental tasks

List of tasks (8/8/2012)
  

  • Verify the correctness of implementation on all processes of existing work
    • Done usingKTH and Weizmanns action dataset
      • Benchmark against VLFeat's BOW using Laptev's HOG-HOF descriptor
      • List of different processes involved:
        • STIP detection
        • Number of interest points
        • BOW formation
        • Vector quantization
        • Histogram binning
      • Building of classifier
    • ST Correlation & Haralick texture computation
  • Computational complexity is to be calculated
  • MMI Clustering
    • Evaluate performance of K-means against MMI clustering
    • Try to use MMI clustering as the primary clustering process
  • Verify behaviour of classifier against unknown action datasets as well as action classes
    • Inter dataset classification
    • Behaviour against unknown action class, abilitiy to distinguish unknown action classes
  •  Research on other texture measurement methods which are more recent in comparison to Haralick

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Computer vision resources

Links of various resources


 1. Contains codes for Human Activity Recognition and Tracking
http://www.cis.jhu.edu/~rizwanch/research.htm

2. Contains code for computing Histogram of oriented gradients used in Laptev CVPR 2008 paper

http://lear.inrialpes.fr/people/triggs/src/

3. Contains code for event detection
http://www.fit.hcmus.edu.vn/~vdphong/Event%20Detection.htm

4. Links to various CV codes and resources
a. http://www.vision.jhu.edu/code/
b. http://www.cnblogs.com/idaidai/articles/ComputerVisionResouces.html

5. Contains lecture notes on the topic of CV
http://www.csc.kth.se/utbildning/kth/kurser/DD2427/bik08/

6. Contain various codes for Computer vision such as bag of words implementations and etc.
However, mostly for images. Codes doesnt support videos
http://www.hilandtom.com/tombotterill/index.php




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List of important deadlines and administrative tasks

Deadlines
  •  FG 2013 Shanghai (official: 15/ 9/ 2012)
    • Finish coding (Results) - 14/8/2012
    • Paper - 21/8/2012 
    • Content: 
      • Detection of unknown action classes based on probabilities
      • Ability to distinguish from trained action classes
      • Includes results done using inter-cross-validation between different datasets e.g. Weizmann vs KTH
  • VISAPP 2013 Spain (official: 11/9/2012)
    • Finish coding - 10/8/2012
    • Alter existing paper - 17/8/2012
      • Includes results on KTH, Weizmann
      • To verify that the current implemented approach is correct on all level
      • Finalize protocols for running experiments
  • First chapter for thesis (Introduction) - 10/8/2012

Administrative

Misc
  • Registration for new academic year UPJV and exemption from the compulsory credit hours
  • Apply for extension from UM
  • Finalize plan for USA trip
    • Hotel
    • Disney
    • Car rental
Work related
  •  To be more systematic
    • Restructure the folder for research papers
      • Update the jabref-bib files contents of papers read
    • Codes are to be cleaned and restructured
    • Datasets are to be defined on the class of which are still usable

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