Publicación:
Face detection on real low resolution surveillance videos
Face detection on real low resolution surveillance videos
| dc.contributor.author | Cardenas R.J.T. | es_PE |
| dc.contributor.author | Castañón C.A.B. | es_PE |
| dc.contributor.author | Cáceres J.C.G. | es_PE |
| dc.date.accessioned | 2024-05-30T23:13:38Z | |
| dc.date.available | 2024-05-30T23:13:38Z | |
| dc.date.issued | 2018 | |
| dc.description | This research was supported by CIENCIACTIVA, CONCYTEC and the National University of San Agustin (UNSA). We thank all professors who collaborate in the research. | |
| dc.description.abstract | The use of video cameras for security reasons has increased in recent times. Identify a person with automatic face detection systems have greater importance today; but the low-quality of the videos make it difficult and are still an open problem that many researchers are trying to solve. We propose a novel methodology for face detection on low-resolution videos based on parallel Gunnar Farnebäck optical flow algorithm, Haar Cascades and Local Binary Patterns. Our model does not use illumination normalization or super-resolution techniques, commonly used in literature. The results on the Caviar Database prove a better detection rate compared with OpenCv Library, Dlib C++ Library and Matlab function, which use the known Viola-Jones Haar cascade algorithm and HOGs. Even though these tools not have a number of detections up to 1%, our proposal can detect faces in a rate of 50%. | |
| dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
| dc.identifier.doi | https://doi.org/10.1145/3193077.3193084 | |
| dc.identifier.isbn | urn:isbn:9781450363594 | |
| dc.identifier.scopus | 2-s2.0-85048319786 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12390/561 | |
| dc.language.iso | eng | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartof | ACM International Conference Proceeding Series | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Security systems | |
| dc.subject | Data handling | es_PE |
| dc.subject | Information analysis | es_PE |
| dc.subject | Optical flows | es_PE |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.02.00 | |
| dc.title | Face detection on real low resolution surveillance videos | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dspace.entity.type | Publication |