Detecting subtle human-object interactions using kinect
We present a method to identify human-object interactions involved in complex, fine-grained activities. Our approach benefits from recent improvements in range sensor technology and body trackers to detect and classify important events in a depth video. Combining global motion information with local...
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| Otros Autores: | , , , |
| Formato: | Acta de conferencia Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer Verlag
2014
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| Acceso en línea: | Registro en Scopus Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 05865caa a22006737a 4500 | ||
|---|---|---|---|
| 001 | PAPER-23918 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205541.0 | ||
| 008 | 190411s2014 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84949132928 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Ubalde, S. | |
| 245 | 1 | 0 | |a Detecting subtle human-object interactions using kinect |
| 260 | |b Springer Verlag |c 2014 | ||
| 270 | 1 | 0 | |m Ubalde, S.; Departamento de Computación, Universidad de Buenos AiresArgentina |
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Oreifej, O., Liu, Z., Hon4d: Histogram of oriented 4D normals for activity recognition from depth sequences (2013) CVPR 2013, pp. 716-723 | ||
| 504 | |a Wang, J., Liu, Z., Wu, Y., Yuan, J., Mining actionlet ensemble for action recognition with depth cameras (2012) CVPR 2012, pp. 1290-1297 | ||
| 504 | |a Vieira, A., Nascimento, E., Oliveira, G., Liu, Z., Campos, M., Stop: Space-time occupancy patterns for 3D action recognition from depth map sequences (2012) CIARP 2012. LNCS, 7441, pp. 252-259. , Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.),,. Springer, Heidelberg | ||
| 504 | |a Li, W., Zhang, Z., Liu, Z., Action recognition based on a bag of 3D points (2010) CVPR4HB 2010, pp. 9-14 | ||
| 504 | |a Sung, J., Ponce, C., Selman, B., Saxena, A., Human activity detection from RGBD images (2011) AAAI workshop on Pattern, , Activity and Intent Recognition, PAIR | ||
| 504 | |a Mehrotra, S., Zhang, Z., Cai, Q., Zhang, C., Chou, P.A., Low-complexity, nearlossless coding of depth maps from kinect-like depth cameras (2011) MMSP, pp. 1-6. , IEEE | ||
| 504 | |a Camplani, M., Salgado, L., Efficient spatio-temporal hole filling strategy for Kinect depth maps (2012) Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 8290. , (February, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series | ||
| 504 | |a Gupta, A., Davis, L., Objects in action: An approach for combining action understanding and object perception (2007) CVPR 2007, pp. 1-8 | ||
| 504 | |a Gupta, A., Kembhavi, A., Davis, L., Observing human-object interactions: Using spatial and functional compatibility for recognition (2009) PAMI, 31, pp. 1775-1789 | ||
| 504 | |a Packer, B., Saenko, K., Koller, D., A combined pose, object, and feature model for action understanding (2012) 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1378-1385. , (June | ||
| 504 | |a Datasets, , http://www-2.dc.uba.ar/grupinv/imagenes/subalde/ | ||
| 504 | |a Shotton, J., Sharp, T., Kipman, A., Fitzgibbon, A., Finocchio, M., Blake, A., Cook, M., Moore, R., Real-time human pose recognition in parts from single depth images (2013) CACM, 56, pp. 116-124. , (January | ||
| 504 | |a Perona, P., Malik, J., Scale space and edge detection using anisotropic diffusion (1987) CVWS 1987, pp. 16-22 | ||
| 504 | |a Rao, C., Yilmaz, A., Shah, M., View-invariant representation and recognition of actions (2002) IJCV, 50, pp. 203-226. , (NovemberA4 - Chilean Association for Pattern Recognition (AChiRP); CINVESTAV, Campus Guadalajara; Cuban Association for Pattern Recognition (ACRP); INTEL Education; International Association for Pattern Recognition (IAPR); Mexican Association for Computer Vision; Neurocomputing and Robotics (MACVNR); Portuguese Association for Pattern Recognition (APRP); Spanish Association for Pattern Recogntion and Image Analysis (AERFAI); Special Interest Group of the Brazilian Computer Society (SIGPR-SBC) | ||
| 520 | 3 | |a We present a method to identify human-object interactions involved in complex, fine-grained activities. Our approach benefits from recent improvements in range sensor technology and body trackers to detect and classify important events in a depth video. Combining global motion information with local video analysis, our method is able to recognize the time instants of a video at which a person picks up or puts down an object. We introduce three novel datasets for evaluation and perform extensive experiments with promising results. © Springer International Publishing Switzerland 2014. |l eng | |
| 593 | |a Departamento de Computación, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Microsoft Research, Redmond, United States | ||
| 690 | 1 | 0 | |a DEPTH SENSOR |
| 690 | 1 | 0 | |a HUMAN-OBJECT INTERACTION |
| 690 | 1 | 0 | |a TRAJECTORY ANALYSIS |
| 690 | 1 | 0 | |a COMPUTER VISION |
| 690 | 1 | 0 | |a DEPTH SENSORS |
| 690 | 1 | 0 | |a DEPTH VIDEOS |
| 690 | 1 | 0 | |a FINE GRAINED |
| 690 | 1 | 0 | |a GLOBAL MOTION |
| 690 | 1 | 0 | |a HUMAN-OBJECT INTERACTION |
| 690 | 1 | 0 | |a RANGE SENSORS |
| 690 | 1 | 0 | |a TRAJECTORY ANALYSIS |
| 690 | 1 | 0 | |a VIDEO ANALYSIS |
| 690 | 1 | 0 | |a PATTERN RECOGNITION |
| 700 | 1 | |a Liu, Z. | |
| 700 | 1 | |a Mejail, M. | |
| 700 | 1 | |a Hancock E. | |
| 700 | 1 | |a Bayro-Corrochano E. | |
| 711 | 2 | |d 2 November 2014 through 5 November 2014 |g Código de la conferencia: 109889 | |
| 773 | 0 | |d Springer Verlag, 2014 |g v. 8827 |h pp. 770-777 |p Lect. Notes Comput. Sci. |n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |x 03029743 |w (AR-BaUEN)CENRE-983 |z 9783319125671 |t 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014 | |
| 856 | 4 | 1 | |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949132928&partnerID=40&md5=706610d4088607ca1db82285ab82c5ef |y Registro en Scopus |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_03029743_v8827_n_p770_Ubalde |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v8827_n_p770_Ubalde |y Registro en la Biblioteca Digital |
| 961 | |a paper_03029743_v8827_n_p770_Ubalde |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 963 | |a VARI | ||
| 999 | |c 84871 | ||