Robust information fusion in the DOHT paradigm for real-time action detection-Reference-Cited by-同舟云学术

Robust information fusion in the DOHT paradigm for real-time action detection

Published:2016-12-10 Issue:5 Volume:16 Page:1511-1524
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Vaquette Geoffrey,Achard Catherine,Lucat Laurent

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11554-016-0660-5.pdf

Reference61 articles.

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3. Amor, B.B., Su, J., Srivastava, A.: Action recognition using rate-invariant analysis of skeletal shape trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 38(1), 1–13 (2016)

4. Baccouche, M., Mamalet, F., Wolf, C., Garcia, C., Baskurt, A.: Sequential deep learning for human action recognition. In: Human Behavior Understanding, pp. 29–39. Springer (2011)

5. Barnachon, M., Bouakaz, S., Boufama, B., Guillou, E.: Ongoing human action recognition with motion capture. Pattern Recognit. 47(1), 238–247 (2014)

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