Robust relative attributes for human action recognition

Pattern Analysis and Applications

Volumn 18, Issue 1, 2015, Pages 157-171

  Zhang, Zhong ^a   Wang, Chunheng ^a   Xiao, Baihua ^a   Zhou, Wen ^a   Liu, Shuang ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Envelop loss; Human action recognition; Relative attributes; Zero shot learning

Indexed keywords

EID: 84883519493     PISSN: 14337541     EISSN: 1433755X     Source Type: Journal    
DOI: 10.1007/s10044-013-0349-3     Document Type: Article

References (43)

1. Kuehne H, Jhuang H, Garrote E, Poggio T, Serre T (2011) HMDB: a large video database for human motion recognition. In: IEEE conference on computer vision (ICCV), pp 2556–2563
2. Aggarwal JK, Cai Q (1997) Human motion analysis: a review. In: IEEE nonrigid and articulated motion workshop, pp 90–102
3. Yilmaz A, Shah M (2005) Actions sketch: a novel action representation. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 984–989
4. Blank M, Gorelick L, Shechtman E, Irani M, Basri R (2005) Actions as space-time shapes. In: IEEE conference on computer vision (ICCV), pp 1395–1402
5. Lin Z, Jiang Z, Davis LS (2009) Recognizing actions by shape-motion prototype trees. In: IEEE conference on computer vision (ICCV), pp 444–451
6. Lv F, Nevatia R (2007) Single view human action recognition using key pose matching and viterbi path searching. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1–8
7. Efros A, Berg A, Mori G, Malik J (2003) Recognizing action at a distance. In: IEEE conference on computer vision (ICCV), pp 726–733
8. Raptis M, Soatto S (2010) Tracklet descriptors for action modeling and video analysis. In: European Conference on Computer Vision (ECCV) pp 577–590
9. Dollár P, Rabaud V, Cottrell G, Belongie S (2005) Behavior recognition via sparse spatio-temporal features. In: IEEE conference on computer vision workshop on visual surveillance and performance evaluation of tracking and surveillance (VS-PETS), pp 65–72
10. Liu J, Shah M (2008) Learning human actions via information maximization. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1–8
11. Liu J, Yang Y, Shah M (2009) Learning semantic visual vocabularies using diffusion distance. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 461–468
12. Zhang Z, Wang C, Xiao B, Zhou W, Liu S (2012) Action recognition using context-constrained linear coding. IEEE Signal Process Lett 19(7):439–442
13. Savarese S, DelPozo A, Niebles JC, Fei-Fei L (2008) Spatial-Temporal correlatons for unsupervised action classification. In: IEEE workshop on Motion and Video Computing (WMVC), pp 1–8
14. Ryoo MS, Aggarwal JK (2009) Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. In: IEEE conference on computer vision (ICCV), pp 1593–1600
15. Kovashka A, Grauman K (2010) Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2046–2053
16. Farhadi A, Endres I, Hoiem D, Forsyth D (2009) Describing objects by their attributes. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1778–1785
17. Lampert CH, Nickisch H, Harmeling S (2009) Learning to detect unseen object classes by between-class attribute transfer. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 951–958
18. Parikh D, Grauman K (2011) Relative attributes. In: IEEE conference on computer vision (ICCV), pp 503–510
19. Liu J, Kuipers B, Savarese S (2011) Recognizing human actions by attributes. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 3337–3344
20. Kumar N, Berg AC, Belhumeur PN, Nayar SK (2009) Attribute and simile classifiers for face verification, In: IEEE conference on computer vision (ICCV), pp 365–372
21. Wang Y, Mori G (2010) A discriminative latent model of object classes and attributes. In: European Conference on Computer Vision (ECCV), pp 155–168
22. Hwang SJ, Sha F, Grauman K (2011) Sharing features between objects and their attributes. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1761–1768
23. Argyriou A, Evgeniou T, Pontil M (2008) Convex multi-task feature learning. Mach Learn 73(3):243–272
24. 2, 1-norm minimization. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence, pp 339–348
25. Berg T, Berg A, Shih J (2010) Automatic attribute discovery and characterization from noisy web data. In: European Conference on Computer Vision (ECCV), pp 663–676
26. Elsas JL, Carvalho VR, Carbonell JG (2008) Fast learning of document ranking functions with the committee perceptron. In: ACM conference on web search and data mining (WSDM), pp 55–64
27. Perez-Cruz F, Navia-Vazquez A, Figueiras-Vidal AR, Artes-Rodriguez A (2008) Empirical risk minimization for support vector classifiers. IEEE Trans Neural Netw 14(2):296–303
28. Larochelle H, Erhan D, Bengio Y (2008) Zero-data learning of new tasks. In: AAAI Conference on Artificial Intelligence (AAAI), pp 646–651
29. Laptev I (2005) On space-time interest points. Int J Comput Vis (IJCV) 64(2):107–123
30. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 886–893
31. Dalal N, Triggs B, Schmid C (2006) Human detection using oriented histograms of flow and appearance. In: European Conference on Computer Vision (ECCV), pp 428–441
32. Wang H, Ullah MM, Klaser A, Laptev I, Schmid C (2009) Evaluation of local spatio-temporal features for action recognition. In: British Machine Vision Conference (BMVC)
33. Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):1–27
34. Schuldt C, Laptev I, Caputo B (2004) Recognizing human actions: A local SVM approach. In: International Conference on Pattern Recognition (ICPR), pp 32–36
35. Tran D, Sorokin A (2008) Human activity recognition with metric learning. In: European Conference on Computer Vision (ECCV), pp 548–561
36. Marszalek M, Laptev I, Schmid C (2009) Actions in context. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2929–2936
37. Laptev I, Marszalek M, Schmid C, Rozenfeld B (2008) Learning realistic human actions from movies. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1–8
38. Wang J, Chen Z, Wu Y (2011) Action recognition with multiscale spatio-temporal contexts. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 3185–3192
39. Ji S, Xu W, Yang M, Yu K (2013) 3D convolutional neural networks for human action recognition In: IEEE Transactions on Pattern Analysis and Machine Intelligence
40. Han D, Bo L, Sminchisescu C (2009) Selection and context for action recognition. In: IEEE conference on computer vision (ICCV), pp 1933–1940
41. Gilbert A, Illingworth J, Bowden R (2009) Fast realistic multi-action recognition using mined dense spatio-temporal features. In: IEEE conference on computer vision (ICCV), pp 925–931
42. Ullah M, Parizi S, Laptev I (2010) Improving bag-of-features action recognition with non-local cues. In: British Machine Vision Conference (BMVC)
43. Chakraborty B, Holte M, Moeslund T, Gonzààlez J (2012) Selective spatio-temporal interest points. Comput Vis Image Underst 116(3):396–410