Pedestrian tracking using probability fields and a movement feature space
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional de Colombia
2017
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| _version_ | 1876469685415837696 |
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| author | Pablo Negri |
| author_facet | Pablo Negri |
| contents | Pedestrian tracking using probability fields and a movement feature space Pablo Negri Damián Garayalde Ingeniería target framework Pedestrian tracking movement feature space Retrieving useful information from video sequences, such as the dynamics of pedestrians, and other moving objects on a video sequence, leads to further knowledge of what is happening on a scene. In this paper, a Target Framework associates each person with an autonomous entity, modeling its trajectory and speed by using a state machine. The particularity of our methodology is the use of a Movement Feature Space (MFS) to generate descriptors for classifiers and trackers. This approach is applied to two public sequences (PETS2009 and TownCentre). The results of this tracking outperform other algorithms reported in the literature, which have, however, a higher computational complexity. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910026 https://www.redalyc.org/journal/496/49650910026/ https://www.redalyc.org/journal/496/49650910026/html/ https://www.redalyc.org/journal/496/49650910026/49650910026.epub https://www.redalyc.org/journal/496/49650910026/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84 |
| format | Artículo científico |
| id | redalyc_49650910026 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Pedestrian tracking using probability fields and a movement feature space Pablo Negri Ingeniería target framework Pedestrian tracking movement feature space Pedestrian tracking using probability fields and a movement feature space Pablo Negri Damián Garayalde Ingeniería target framework Pedestrian tracking movement feature space Retrieving useful information from video sequences, such as the dynamics of pedestrians, and other moving objects on a video sequence, leads to further knowledge of what is happening on a scene. In this paper, a Target Framework associates each person with an autonomous entity, modeling its trajectory and speed by using a state machine. The particularity of our methodology is the use of a Movement Feature Space (MFS) to generate descriptors for classifiers and trackers. This approach is applied to two public sequences (PETS2009 and TownCentre). The results of this tracking outperform other algorithms reported in the literature, which have, however, a higher computational complexity. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910026 https://www.redalyc.org/journal/496/49650910026/ https://www.redalyc.org/journal/496/49650910026/html/ https://www.redalyc.org/journal/496/49650910026/49650910026.epub https://www.redalyc.org/journal/496/49650910026/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84 |
| title | Pedestrian tracking using probability fields and a movement feature space |
| topic | Ingeniería target framework Pedestrian tracking movement feature space |
| url | https://www.redalyc.org/articulo.oa?id=49650910026 https://www.redalyc.org/journal/496/49650910026/ https://www.redalyc.org/journal/496/49650910026/html/ https://www.redalyc.org/journal/496/49650910026/49650910026.epub https://www.redalyc.org/journal/496/49650910026/movil |