| Presentation | 2014-03-06 Particle Filter based on Observation Model with Adaptive Local Features and its Application to Human Tracking Sangeun LEE, Keiichi HORIO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, adaptation algorithm for reliable appearance model (RAM), which is a observation model in particle filter for object tracking, is proposed. RAM is a set of features constructed of color and shape information in local areas randomly selected in an image. RAM exhibits robust tracing even when changes of occlusion or illumination condition occur in video scene. However, RAM is not useful for shape change of an object. In this report, adaptation algorithm, in which inadequate local features are automatically extracted and are updated to adequate ones, are discussed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | object tracking / particle filter / reliable appearance model / adaptation algorithm |
| Paper # | SIS2013-59 |
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| Committee | SIS |
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| Conference Date | 2014/2/27(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Particle Filter based on Observation Model with Adaptive Local Features and its Application to Human Tracking |
| Sub Title (in English) | |
| Keyword(1) | object tracking |
| Keyword(2) | particle filter |
| Keyword(3) | reliable appearance model |
| Keyword(4) | adaptation algorithm |
| 1st Author's Name | Sangeun LEE |
| 1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
| 2nd Author's Name | Keiichi HORIO |
| 2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
| Date | 2014-03-06 |
| Paper # | SIS2013-59 |
| Volume (vol) | vol.113 |
| Number (no) | 467 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |