Gait-Based Carried Object Detection Using Persistent Homology-Reference-Cited by-同舟云学术

Gait-Based Carried Object Detection Using Persistent Homology

Published:2014 Issue: Volume: Page:836-843
ISSN:0302-9743
Container-title:Advanced Information Systems Engineering
language:
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Author:

Lamar-Leon Javier,Baryolo Raul Alonso,Garcia-Reyes Edel,Gonzalez-Diaz Rocio

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12568-8_101

Reference12 articles.

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2. Lecture Notes in Computer Science;A. Tavanai,2013

3. Senst, T., Kuhn, A., Theisel, H., Sikora, T.: Detecting people carrying objects utilizing lagrangian dynamics. In: 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 398–403. IEEE (2012)

4. Senst, T., Evangelio, R.H., Eiselein, V., Pätzold, M., Sikora, T.: Towards detecting people carrying objects-a periodicity dependency pattern approach. In: VISAPP (2), vol. 10, pp. 524–529 (2010)

5. Tao, D., Li, X., Maybank, S.J., Wu, X.: Human carrying status in visual surveillance. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1670–1677. IEEE (2006)

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