Items where Kingston Author is "Thida, Thida"

Article

Thida, M., Eng, H-L and Remagnino, P. (2013) Laplacian Eigenmap with temporal constraints for local abnormality detection in crowded scenes. IEEE Transactions on Cybernetics, 43(6), pp. 2147-2156. ISSN (print) 2168-2267

Thida, Myo, Eng, How-Lung, Monekosso, Dorothy N. and Remagnino, Paolo (2013) A particle swam optimization algorithm with interactive swarms for tracking multiple targets. Applied Soft Computing, 13(6), pp. 3106-3117. ISSN (print) 1568-4946

Thida, Myo, Eng, How-Lung, Monekosso, Dorothy N. and Remagnino, Paolo (2012) Learning video manifolds for content analysis of crowded scenes. IPSJ Transactions on Computer Vision and Applications, 4, pp. 71-77. ISSN (online) 1882-6695

Book Section

Thida, Myo, Yong, Yoke Leon, Climent-Perez, Pau, Eng, How-lung and Remagnino, Paolo (2013) A literature review on video analytics of crowded scenes. In: Atrey, Pradeep K. , Kankanhalli, Mohan S. and Cavallaro, Andrea, (eds.) Intelligent multimedia surveillance: current trends and research. Berlin; Heidelberg, Germany : Springer-Verlag. pp. 17-36. ISBN 9783642415111

Conference or Workshop Item

Thida, Myo, How-lung, Eng, Monekosso, Dorothy and Remagnino, Paolo (2010) Learning video manifold for segmenting crowd events and abnormality detection. In: Tenth Asian Conference on Computer Vision; 8 Nov - 12 Nov 2010, Queenstown, New Zealand.

Lu, Haiping, Eng, How-Lung, Thida, Myo and Plataniotis, Konstantinos N. (2010) Visualization and clustering of crowd video content in MPCA subspace. In: 19th ACM international conference on Information and knowledge management; 26 - 30 Oct 2010, Toronto, Canada. ISBN 9781450300995

Thida, Myo, Eng, How-Lung and Chew, Boon Fong (2009) Automatic analysis of fish behaviors and abnormality detection. In: IAPR Conference on Machine Vision Applications; 20-22 May 2009, Yokohama, Japan.

Thesis

Thida, Myo (2013) Contextual analysis of videos capturing multiple moving targets. (PhD thesis), Kingston University, .