Research Experience

Book
M. Thida, H.-L. Eng, D. N. Monekosso, P. Remagnino, “Contextual Analysis of Videos”, ISBN: 9781627051668 | PDF ISBN: 9781627051675 Copyright © 2013 | 102 Pages | Publication Date: 08/01/2013. Order Book Here

Awards

  1. IES (Institution of Engineers Singapore) Prestigious Engineering Achievement Award 2008.
  2. IWA (International Water Association) Honour Award for Applied Research Category 2012.
  3. M. Thida and H.-L. Eng, “Learning group behaviour: Detecting water toxicity by biological monitoring,” in International Summer School on Pattern Recognition, vol. Springer: Best Poster Award, 2011.

Highlighted Journals & Conferences (Check for details at Google scholar)

  1. M. Thida, P. Remagnino, H.-L. Eng, A particle swarm optimisation approach for multi-objects tracking in crowded scene, in proceedings of IEEE International Workshop on Visual Surveillance, 2009, pp. 1209 – 1215.
  2. M. Thida, H.-L. Eng, D. N. Monekosso, P. Remagnino, A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets, Applied Soft Computing, vol. 13, pp. 3106-3117, 2013
  3. M. Thida, H.-L. Eng, and P. Remagnino, “ Laplacian Eigenmap with Temporal Constraints for Local Abnormality Detection in Crowded Scenes,” in IEEE Transactions on Systems, Man, And Cybernetics Part B, vol. 99, pp. 1–10, February 2013.
  4. M. Thida, H.-L. Eng, D. N. Monekosso, and P. Remagnino, “Learning video manifolds for content analysis of crowded scenes,” Information Processing Society of Japan (IPSJ) Transactions on Computer Vision and Applications, vol. 4, pp. 71–77, May 2012.
  5. M. Thida, H.-L. Eng, and P. Remagnino, “Laplacian Eigenmap with Temporal Constraints for Local Abnormality Detection in Crowded Scenes,” in Lecture Notes in Computer Science: Computer Vision, vol. 6492/2011. Springer, pp. 439–449, November 2010.
  6. H. Lu, H.-L. Eng, M. Thida, and K. Plataniotis, “Visualisation and clustering of crowd video content in MPCA subspace,” in ACM Conference on Information and Knowledge Management, pp. 1777–1780 October 2010
  7. M. Thida, H.-L. Eng, and Bong Fong. Chew, “Automatic analysis of fish behaviour and abnormality detection,” in In proceedings of IAPR Conference on Machine Vision Applications, May 2009, pp. 278–282.
  8. Bong Fong. Chew, H.-L. Eng, and M. Thida, “Vision-based real-time monitoring on the behaviour of fish school,” in In proceedings of IAPR Conference on Machine Vision Applications, May 2009, pp. 90–94 .