STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences

Author:

Vieira Antonio W.,Nascimento Erickson R.,Oliveira Gabriel L.,Liu Zicheng,Campos Mario F. M.

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Carnegie mellon university motion capture database, http://mocap.cs.cmu.edu

2. Lecture Notes in Computer Science;P. Breuer,2007

3. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior recognition via sparse spatio-temporal features. In: IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, San Diego, CA (2005)

4. Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. IEEE Trans. PAMI 29(12) (2007)

5. Gu, J., Ding, X., Wang, S., Wu, Y.: Action and gait recognition from recovered 3D human joints. IEEE Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics 40(4) (2010)

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