Results and analysis of the ChaLearn gesture challenge 2012

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

Volumn 7854 LNCS, Issue , 2013, Pages 186-204

  Guyon, Isabelle ^a   Athitsos, V ^b   Jangyodsuk, P ^b   Escalante, H J ^c   Hamner, B ^d  

^a ChaLearn   (United States)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^c INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^d GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARM GESTURES; INFRA-RED SENSOR; INTERFACE APPLICATIONS; LARGE DATABASE; SHORT SEQUENCES; SINGLE USERS; STRUCTURED LIGHT; TRANSFER LEARNING;

INFRARED DETECTORS;

IMAGE ANALYSIS;

EID: 84883290089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40303-3_19     Document Type: Conference Paper

References (21)

1. Bobick, A.F., Davis, J.W.: The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Mach. Intell. 23(3), 257-267 (2001)
2. Bradski, G.: The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000)
3. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886-893 (2005)
4. Escalante, H.J., Guyon, I.: Principal motion: PCA-based reconstruction of motion histograms. Technical report, ChaLearn (2012)
5. Escalera, S., Fornés, A., Pujol, O., Lladós, J., Radeva, P.: Circular blurred shape model for multiclass symbol recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(2), 497-506 (2011)
6. Fanelli, G., Gall, J., Van Gool, L.J.: Real time head pose estimation with random regression forests. In: CVPR, pp. 617-624 (2011)
7. Gallo, L., Placitelli, A.P., Ciampi, M.: Controller-free exploration of medical image data: Experiencing the kinect. In: CBMS, pp. 1-6 (2011)
8. Gori, I., Fanello, S.R., Metta, G., Odone, F.: All gestures you can: a memory game. Technical report, Istituto Italiano di Tecnologia, Italy, Submitted to JMLR (2012)
9. Guyon, I., Athitsos, V., Jangyodsuk, P., Escalante, H.J.: The ChaLearn Gesture Dataset (CGD 2011). Submitted to Machine Vision and Applications (2013)
10. Hastie, T., Tibshirani, R., Friedman, J.H.: The elements of statistical learning: data mining, inference, and prediction: with 200 full-color illustrations. Springer, New York (2001)
11. Keskin, C., Kira, F., Kara, Y.E., Akarun, L.: Randomized decision forests for static and dynamic hand shape classification. In: CVPR Workshops, pp. 31-36. IEEE (2012)
12. Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press (2009)
13. Lafferty, J.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data, pp. 282-289. Morgan Kaufmann (2001)
14. Laptev, I.: On space-time interest points. International Journal of Computer Vision 64(2-3), 107-123 (2005)
15. Lucena, M., de la Blanca, N.P., Fuertes, J.M., Marín- Jiménez, M.J.: Human action recognition using optical flow accumulated local histograms. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds.) IbPRIA 2009. LNCS, vol. 5524, pp. 32-39. Springer, Heidelberg (2009)
16. Malgireddy, M., Nwogu, I., Govindaraju, V.: Language-motivated approaches to action recognition. Submitted to JMLR (2013)
17. Oikonomidis, I., Kyriazis, N., Argyros, A.A.: Tracking the articulated motion of two strongly interacting hands. In: CVPR, pp. 1862-1869 (2012)
18. Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Transactions on Knoweledge and Data Engineering 22(10), 1345-1359 (2010)
19. Rabiner, L.R.:A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 257-286 (1989)
20. Viterbi, A.J.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory IT-13(2), 260-269 (1967)
21. Wan, J., Ruan, Q., Li, W.: One-shot learning gesture recognition from rgb-d data using bag-of-features. JMLR (in press, 2013)