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Multi target tracking using determinantal point processes
| dc.contributor.author | Jorquera, Felipe | |
| dc.contributor.author | Hernández, Sergio | |
| dc.contributor.author | Vergara, Diego | |
| dc.date.accessioned | 2022-12-26T13:13:34Z | |
| dc.date.available | 2022-12-26T13:13:34Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/4268 | |
| dc.description.abstract | Multi Target Tracking has many applications such as video surveillance and event recognition among others. In this paper, we present a multi object tracking (MOT) method based on point processes and random finite sets theory. The Probability Hypothesis Density (PHD) filter is a MOT algorithm that deals with missed, false and redundant detections. However, the PHD filter, as well as other conventional tracking-by-detection approaches, requires some sort of pre-processing technique such as non-maximum suppression (NMS) to eliminate redundant detections. In this paper, we show that using NMS is sub-optimal and therefore propose Determinantal Point Processes (DPP) to select the final set of detections based on quality and similarity terms. We conclude that PHD filter-DPP method outperforms PHD filter-NMS. | 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 | Lecture Notes in Computer Science, 10657, 323-330 | es_CL |
| dc.subject | Multi object tracking | es_CL |
| dc.subject | Tracking by detection | es_CL |
| dc.subject | Determinantal Point Processes | es_CL |
| dc.title | Multi target tracking using determinantal point processes | es_CL |
| dc.type | Article | es_CL |
| dc.ucm.indexacion | Scopus | es_CL |
| dc.ucm.uri | link.springer.com/chapter/10.1007/978-3-319-75193-1_39 | es_CL |
| dc.ucm.doi | doi.org/10.1007/978-3-319-75193-1_39 | es_CL |
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Excepto si se señala otra cosa, la licencia de la publicación se describe como Atribución-NoComercial-SinDerivadas 3.0 Chile