| Presentation | 2013-09-02 Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion Kourosh MESHGI, Yu-zhe LI, Shigeyuki OBA, Shin-ichi MAEDA, Shin ISHII, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occlusions especially in cluttered environments introduced new challenges to the tracking problem; identity loss, splitting/merging, shape changes, shadows and other appearance artifacts trouble appearance-based tracking techniques. Depth-maps provide necessary clues to retrieve occluded objects after they reappear, recombine split group of objects, compensate drastic appearance changes, and reduce the effect of appearance artifacts. In this study, we not only proposed a consistent way of integrating color and depth information in a particle filter framework to efficiently perform the tracking task, but also enhanced the previous color-based particle filtering to achieve trajectory independence and consistency with respect to the target scale. We also exploited local characteristics to represent the target objects and proposed a novel confidence measure for them. Appling to simple tracking problems, the performance of our method is discussed thoroughly. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | RGB-D particle filter / depth map / explicit occlusion handling / enhanced bounding box |
| Paper # | PRMU2013-42,IBISML2013-22 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion |
| Sub Title (in English) | |
| Keyword(1) | RGB-D particle filter |
| Keyword(2) | depth map |
| Keyword(3) | explicit occlusion handling |
| Keyword(4) | enhanced bounding box |
| 1st Author's Name | Kourosh MESHGI |
| 1st Author's Affiliation | Graduae School of Informatics, Kyoto University() |
| 2nd Author's Name | Yu-zhe LI |
| 2nd Author's Affiliation | Graduae School of Informatics, Kyoto University |
| 3rd Author's Name | Shigeyuki OBA |
| 3rd Author's Affiliation | Graduae School of Informatics, Kyoto University |
| 4th Author's Name | Shin-ichi MAEDA |
| 4th Author's Affiliation | Graduae School of Informatics, Kyoto University |
| 5th Author's Name | Shin ISHII |
| 5th Author's Affiliation | Graduae School of Informatics, Kyoto University |
| Date | 2013-09-02 |
| Paper # | PRMU2013-42,IBISML2013-22 |
| Volume (vol) | vol.113 |
| Number (no) | 196 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |