A quantitative comparison of two new motion estimation algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4841 LNCS, Issue PART 1, 2007, Pages 424-431

  Zhan, B ^a   Remagnino, P ^a   Velastin, S A ^a   Monekosso, N ^a   Xu, L Q ^b  

^a KINGSTON UNIVERSITY   (United Kingdom)

^b MARTLESHAM HEATH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; IMAGE SEGMENTATION; REAL TIME SYSTEMS;

MAXIMUM CURVATURE; QUANTITATIVE COMPARISON;

MOTION ESTIMATION;

EID: 38149020018     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76858-6_42     Document Type: Conference Paper

References (9)

1. Cohen, L, Ayache, N., Sulger, P.: Tracking points on deformable objects using curvature information. In: Proceedings of the Second European Conference on Computer Vision (1992)
2. Lowe, D.G.: Object Recognition from Local Scale-Invariant Features(ICCV 1999). In: Seventh International Conference on Computer Vision, vol. 2 (1999)
3. Gouet, V., Boujemaa, N.: About optimal use of color points of interest for contentbased image retrieval. Technical Report, RP-4439 (2002)
4. Gabriel, P., Hayet, J., Piater, J., Verly, J.: Object tracking using color interest points. In: Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 159-164 (2005)
5. Mathes, T., Piater, J.: Robust non-rigid object tracking using point distribution models. In: Proc. of British Machine Vision Conference (BMVC) vol. 2 (2005)
6. Zhan, B., Remagnino, P., Velastin, S., Bremond, F., Thonnat, M.: Matching gradient descriptors with topological constraints to characterise the crowd dynamics. In: VIE 2006. Visual Information Engineering, IET International Conference, pp. 441-446 (2006) ISSN: 0537-9989, ISBN: 978-0-86341-671-2
7. Zhan, B., Remagnino, P., Velastin, S.A., Monekosso, N., Xu, L.Q.: Motion estimation with edge continuity constraint for crowd scene analysis. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Nefian, A., Meenakshisundaram, G., Pascucci, V., Zara, J., Molineros, J., Theisel, H., Malzbender, T. (eds.) ISVC 2006. LNCS, vol. 4292, pp. 861-869. Springer, Heidelberg (2006)
8. Subramanya, S.R., Patel, H., Ersoy, I.: Performance evaluation of block-based motion estimation algorithms and distortion measures. In: ITCC 2004. Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC 2004), Washington, DC, USA, vol. 2, IEEE Computer Society, Los Alamitos (2004)
9. http://www.hsl.creighton.edu/hsl/Searching/Recall-Precision.html