A decision forest based feature selection framework for action recognition from RGB-depth cameras

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

Volumn 7950 LNCS, Issue , 2013, Pages 648-657

  Negin, Farhood ^a   Özdemir, Firat ^a   Akgül, Ceyhun Burak ^b,c   Yüksel, Kamer Ali ^a   Erçil, Aytül ^a,b  

^a SABANCI UNIVERSITY   (Turkey)

^b Vistek ISRA Vision   (Turkey)

^c BOGAZICI UNIVERSITY   (Turkey)

Author keywords

action recognition; human motion analysis; random decision forest

Indexed keywords

ACTION RECOGNITION; BASE-LINE PERFORMANCE; DECISION FOREST; HUMAN MOTION ANALYSIS; PHYSICAL EXERCISE; SELECTION FRAMEWORK; SPATIO-TEMPORAL DYNAMICS; SUPPORT VECTOR MACHINE CLASSIFIERS;

DECISION TREES; IMAGE ANALYSIS; IMAGE RECOGNITION; KINEMATICS; MOTION ESTIMATION;

FORESTRY;

DECISION MAKING; FORESTRY; IMAGE ANALYSIS; TREES;

EID: 84884494272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39094-4_74     Document Type: Conference Paper

References (12)

1. Asus, http://www.asus.com/Multimedia/Xtion-PRO-LIVE/
2. Breiman, L.: Bagging predictors. Machine Learning 24(2), 123-140 (1996)
3. Breiman, L.: Random forests. Machine Learning 45(1), 5-32 (2001)
4. Ellis, C., Masood, S.Z., Tappen, M.F., LaViola, J.J., Sukthankar, R.: Exploring the trade-off between accuracy and observational latency in action recognition. International Journal of Computer Vision, 1-17 (2012)
5. Fothergill, S., Mentis, H., Kohli, P., Nowozin, S.: Instructing people for training gestural interactive systems. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, pp. 1737-1746. ACM (2012)
6. Gini, C.: Concentration and dependency ratios. Rivista di Politica Economica 87, 769-792 (1997)
7. Kinect. Microsoft kinect documentation, sdk rlease (May 2012)
8. Kullback, S., Leibler, R.A.: On information and sufficiency. The Annals of Mathematical Statistics 22(1), 79-86 (1951)
9. Microsoft. Microsoft corp. redmond wa. kinect for xbox 360
10. Raptis, M., Kirovski, D., Hoppe, H.: Real-time classification of dance gestures from skeleton animation. In: Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 147-156. ACM (2011)
11. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1297-1304. IEEE (2011)
12. Yao, A., Gall, J., Fanelli, G., Gool, L.V.: Does human action recognition benefit from pose estimation? In: Proceedings of the 22nd British Machine Vision Conference-BMVC (2011)