Mostra el registre d'ítem simple
Understanding event boundaries for egocentric activity recognition from photo-streams
| dc.contributor.author | Cartas Ayala, Alejandro |
| dc.contributor.author | Talavera, Estefanía |
| dc.contributor.author | Radeva, Petia |
| dc.contributor.author | Dimiccoli, Mariella |
| dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
| dc.date.accessioned | 2021-09-21T11:58:41Z |
| dc.date.available | 2021-09-21T11:58:41Z |
| dc.date.issued | 2021 |
| dc.identifier.citation | Cartas, A. [et al.]. Understanding event boundaries for egocentric activity recognition from photo-streams. A: 2021 ICPR International Workshops and Challenges (ICPR-IWC). "Proceeding of 2021 ICPR International Workshops and Challenges (ICPR-IWC)". Springer Nature, 2021, p. 334-347. DOI 10.1007/978-3-030-68796-0_24. |
| dc.identifier.uri | http://hdl.handle.net/2117/351834 |
| dc.description | The final publication is available at link.springer.com |
| dc.description.abstract | The recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity recognition from fixed cameras.In this work, we propose to use segmented events from photo-streams as temporal boundaries to improve the performance of activity recognition. Furthermore, we robustly measure its effectiveness when images of the evaluated person have been seen during training, and when the person is completely unknown during testing. Experimental results show that leveraging temporal boundary information on pictures of seen people improves all classification metrics, particularly it improves the classification accuracy up to 85.73%. |
| dc.description.sponsorship | This work was partially funded by projects RTI2018-095232-B-C2, SGR 1742, CERCA, Nestore Horizon2020 SC1-PM-15-2017 (n 769643), Validithi EIT Health Program, and the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (MINECO/ERDF, EU) through the program Ramon y Cajal, the national Spanish project PID2019-110977GA-I00 and the Spanish national network RED2018-102511-T. A. Cartas supported by a doctoral fellowship from the Mexican Council of Science and Technology (CONACYT) (grant-no. 366596). The authors acknowledge the support of NVIDIA Corporation for hardware donation. |
| dc.format.extent | 14 p. |
| dc.language.iso | eng |
| dc.publisher | Springer Nature |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| dc.subject.other | Computer vision |
| dc.subject.other | Pattern recognition |
| dc.title | Understanding event boundaries for egocentric activity recognition from photo-streams |
| dc.type | Conference report |
| dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
| dc.identifier.doi | 10.1007/978-3-030-68796-0_24 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.subject.inspec | Classificació INSPEC::Pattern recognition::Computer vision |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-68796-0_24 |
| dc.rights.access | Open Access |
| local.identifier.drac | 31846852 |
| dc.description.version | Postprint (author's final draft) |
| local.citation.author | Cartas, A.; Talavera, E.; Radeva, P.; Dimiccoli, M. |
| local.citation.contributor | 2021 ICPR International Workshops and Challenges (ICPR-IWC) |
| local.citation.publicationName | Proceeding of 2021 ICPR International Workshops and Challenges (ICPR-IWC) |
| local.citation.startingPage | 334 |
| local.citation.endingPage | 347 |
