Human activity recognition by separating style and content

Pattern Recognition Letters

Volumn 50, Issue , 2014, Pages 130-138

  Cheema, Muhammad Shahzad ^a   Eweiwi, Abdalrahman ^a   Bauckhage, Christian ^a,b  

^a Rheinische Friedrich Wilhelms Universität   (Germany)

^b FRAUNHOFER IAIS   (Germany)

Author keywords

Action recognition; Bilinear models; Expectation maximization; Kinect depth images; Motion capture; Motion history volumes

Indexed keywords

ACTION RECOGNITION; BILINEAR MODELS; EXPECTATION - MAXIMIZATIONS; KINECT DEPTH IMAGES; MOTION CAPTURE; MOTION HISTORY;

EID: 84908172781     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.09.024     Document Type: Article

References (23)

1. E. Chaung, and C. Bregler Mood swings: expressive speech animation ACM Transactions on Graphics 24 2 2005 331 347
2. Cheema, M.; Eweiwi, A.; Bauckhage, C.; 2012. Who is doing what? Simultaneous recognition of actions and actors. In: IEEE International Conference on Image Processing.
3. J.E. Cutting, and L.T. Kozlowski Recognizing friends by their walk: gait perception without familiarity cues Bulletin of the Psychonomic Society 9 5 1977 353 356
4. Cuzzolin, F.; 2006. Using bilinearmodels for view-invariant action and identity recognition. In: IEEE International Conference on Computer Vision and Pattern Recognition.
5. Elgammal, A.M.; Lee, C.S.; 2004. Separating style and content on a nonlinear manifold. In: IEEE International Conference on Computer Vision and Pattern Recognition.
6. Escalante, H.J.; Guyon, I.; 2012. Principal motion: Pca-based reconstruction of motion histograms. Technical Memorandum ChaLearn Gesture Challenge.
7. Iosifidis, A.; Tefas, A.; Pitas, I.; 2011. Person specific activity recognition using fuzzy learning and discriminant anal. In: European Signal Processing Conference.
8. Krausz, B.; Bauckhage, C.; 2010. Action recognition in videos using nonnegative tensor factorization. In: International Conference on Pattern Recognition.
9. Kuehne, H.; Jhaung, H.; Garrote, E.; Poggio, T.; Serre, T.; 2011. Hmdb: a large video database for human motion recognition. In: IEEE International Conference on Computer Vision.
10. I. Laptev, M. Marszaek, C.S.; Rozenfeld, B.; 2008. Learning realistic human actions from movies. In: IEEE International Conference on Computer Vision and Pattern Recognition.
11. Lee, C.S.; Elgammal, A.M.; 2004. Gait style and gait content: bilinear models for gait recognition using gait re-sampling. In: IEEE International Conference on Automatic Face and Gesture Recognition.
12. Marszalek, M.; Lapte, I.; Schmid, C.; 2009. Actions in context. In: IEEE International Conference on Computer Vision and Pattern Recognition.
13. Ofli, F.; Chaudhry, R.; Kurillo, G.; Vidal, R.; Bajcsy, R.; 2013. Berkeley mhad: a comprehensive multimodal human action database. In: IEEE Workshop on Applications of Computer Vision.
14. M. Perera, S. Kudoh, and K. Ikeuchi Keypose and style analysis based on low-dimensional representation Journal of Information Processing Society of Japan 50 2009 1234 1249
15. K. Reddy, and M. Shah Recognizing 50 human action categories of web videos Machine Vision and Applications 115 2012 1 11
16. D. Shin, H.-S. Lee, and D. Kim Illumination-robust face recognition using ridge regressive blinear models Pattern Recognition Letters 29 1 2008 49 58
17. J.B. Tanenbaum, and W.T. Freeman Separating style and content with bilinear models Neural Computation 12 6 2000 1247 1283
18. Taralova, E.; la Torre, F.D.; Hebert, M.; 2011. Source constrained clustering. In: IEEE International Conference on Computer Vision.
19. K. Thoroughhman, and R. Shadmehr Electromyographic correlates of learning an internel model of reaching movements Journal of Neuroscience 19 19 1999 8573 8588
20. Wang, J.; She, M.; Nahavandi, S.; Kouzani, A.; 2010. A review of vision-based gait recognition methods for human identification. In: IEEE International Conference on Digital Image Computing: Techniques and Applications.
21. Wang, H.; Klaeser, A.; Schmid, C.; Cheng-Lin, L.; 2011. Action recognition by dense trajectories. In: IEEE International Conference on Computer Vision and Pattern Recognition.
22. D. Weinland, R. Ronfard, and E. Boyer Free viewpoint action recognition using motion history volumes Computer Vision and Image Understanding 104 2 2006 249 257
23. Yam, C.Y.; Nixon, M.S.; Carter, J.N.; 2002. Gait recognition by walking and running: a model-based approach. In: Asian Conference on Computer Vision.