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Robust single target tracking using determinantal point process observations
dc.contributor.author | Hernández, Sergio | |
dc.contributor.author | Sallis, Philip | |
dc.contributor.author | Sallis | |
dc.date.accessioned | 2021-11-09T12:42:38Z | |
dc.date.available | 2021-11-09T12:42:38Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/3443 | |
dc.description.abstract | The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli filters have been proposed for visual tracking without explicit detections (image observations). However, these previous approaches do not fully exploit discriminative features for tracking. In this paper, we propose a novel Bernoulli filter with determinantal point processes observations. The proposed observation model can select groups of detections with high detection scores and low correlation among the observed features; thus achieving a robust filter. | es_CL |
dc.language.iso | en | es_CL |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
dc.source | International Journal on Smart Sensing and Intelligent Systems, 13(1), 1-8 | es_CL |
dc.subject | Visual tracking | es_CL |
dc.subject | Bernoulli filter | es_CL |
dc.title | Robust single target tracking using determinantal point process observations | es_CL |
dc.type | Article | es_CL |
dc.ucm.indexacion | Scopus | es_CL |
dc.ucm.uri | www.exeley.com/in_jour_smart_sensing_and_intelligent_systems/doi/10.21307/ijssis-2020-001 | es_CL |
dc.ucm.doi | doi.org/10.21307/ijssis-2020-001 | es_CL |
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