Activity recognition via classification constrained diffusion maps

Yunqian Ma; S. B. Damelin; O. Masoud; N. Papanikolopoulos

doi:10.1007/11919476_1

Activity recognition via classification constrained diffusion maps

Yunqian Ma, S. B. Damelin, O. Masoud, N. Papanikolopoulos

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Applying advanced video technology to understand human activity and intent is becoming increasingly important for video surveillance. In this paper, we perform automatic activity recognition by classification of spatial temporal features from video sequence. We propose to incorporate class labels information to find optimal heating time for dimensionality reduction using diffusion via random walks. We perform experiments on real data, and compare the proposed method with existing random walk diffusion map method and dual root minimal spanning tree diffusion method. Experimental results show that our proposed method is better.

Original language	English (US)
Title of host publication	Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings
Publisher	Springer Verlag
Pages	1-8
Number of pages	8
ISBN (Print)	3540486283, 9783540486282
DOIs	https://doi.org/10.1007/11919476_1
State	Published - 2006
Event	2nd International Symposium on Visual Computing, ISVC 2006 - Lake Tahoe, NV, United States Duration: Nov 6 2006 → Nov 8 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4291 LNCS - I
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Symposium on Visual Computing, ISVC 2006
Country/Territory	United States
City	Lake Tahoe, NV
Period	11/6/06 → 11/8/06

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Ma, Y., Damelin, S. B., Masoud, O., & Papanikolopoulos, N. (2006). Activity recognition via classification constrained diffusion maps. In Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings (pp. 1-8). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4291 LNCS - I). Springer Verlag. https://doi.org/10.1007/11919476_1

Activity recognition via classification constrained diffusion maps. / Ma, Yunqian; Damelin, S. B.; Masoud, O. et al.
Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings. Springer Verlag, 2006. p. 1-8 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4291 LNCS - I).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ma, Y, Damelin, SB, Masoud, O & Papanikolopoulos, N 2006, Activity recognition via classification constrained diffusion maps. in Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4291 LNCS - I, Springer Verlag, pp. 1-8, 2nd International Symposium on Visual Computing, ISVC 2006, Lake Tahoe, NV, United States, 11/6/06. https://doi.org/10.1007/11919476_1

Ma Y, Damelin SB, Masoud O, Papanikolopoulos N. Activity recognition via classification constrained diffusion maps. In Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings. Springer Verlag. 2006. p. 1-8. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11919476_1

Ma, Yunqian ; Damelin, S. B. ; Masoud, O. et al. / Activity recognition via classification constrained diffusion maps. Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings. Springer Verlag, 2006. pp. 1-8 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Activity recognition via classification constrained diffusion maps

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