Human action recognition using LBP-TOP as sparse Spatio-temporal feature descriptor

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

Volumn 5702 LNCS, Issue , 2009, Pages 740-747

  Mattivi, Riccardo ^a   Shao, Ling ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Bag of words; Human action recognition; LBP TOP

Indexed keywords

BAG OF WORDS; COMPUTATIONALLY EFFICIENT; DESCRIPTORS; HUMAN ACTION RECOGNITION; HUMAN ACTIONS; INTEREST POINTS; LBP-TOP; LOCAL BINARY PATTERNS; ORTHOGONAL PLANE; SPATIAL TEMPORALS; SPATIO-TEMPORAL; VIDEO SEQUENCES;

IMAGE ANALYSIS; VIDEO RECORDING;

GESTURE RECOGNITION;

EID: 70349462864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03767-2_90     Document Type: Conference Paper

References (14)

1. Efros, A.A., Berg, A.C., Mori, G., Malik, J.: Recognizing action at a distance. In: Proceedings of Ninth IEEE International Conference on Computer Vision, vol. 2, pp. 726-733 (2003)
2. Shechtman, E., Irani, M.: Space-time behavior based correlation. In: IEEE Computer Society Conference on CVPR, June 20-25, vol. 1, pp. 405-412 (2005)
3. Ali, S., Basharat, A., Shah, M.: Chaotic invariants for human action recognition. In: Proc. of IEEE International Conference on Computer Vision (ICCV), pp. 1-8 (2007)
4. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 971-987 (2002)
5. Ahonen, T., Hadid, A., Pietikäinen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J.G. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469-481. Springer, Heidelberg (2004)
6. Ahonen, T., Hadid, A., Pietikäinen, M.: Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037-2041 (2006)
7. Shan, C., et al.: Facial Expression recognition based on Local Binary Patterns: A comprehensive study. Image and Vision Computing (2008)
8. Zhao, G., Pietikäinen, M.: Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(6), 915-928 (2007)
9. Kellokumpu, V., Zhao, G., Pietikäinen, M.: Human Activity Recognition Using a Dynamic Texture Based Method. In: British Machine Vision Conference (2008)
10. Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: Proceedings of the 17th International Conference on Pattern Recognition, August 2004, vol. 3, pp. 32-36 (2004)
11. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.J.: Behavior recognition via sparse spatiotemporal features. In: Proc. of ICCV Int. work-shop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VSPETS), pp. 65-72 (2005)
12. Laptev, I.: On space-time interest points. International Journal of Computer Vision (IJCV) 64(2-3), 107-123 (2005)
13. Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8 (2008)
14. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001), http://www.csie.ntu.edu.tw/̃cjlin/libsvm