Name
Abstract | ||
|---|---|---|
This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we make use of these two representations' complementary strengths to develop an enhanced version. The proposed tracker consists of a general strategy to evaluate the optimization problem's degeneracy online and then switch proper representations. Both TS and EM are motion- and scene-dependent, and thus it is important to figure out their limitations in tracking. We develop six tracker variations and conduct a thorough comparison of them on sequences covering various scenarios and motion complexities. We release our implementations and detailed results to benefit the research community on event cameras: https://github.com/gogojjh/ESVO_extension. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CVPRW53098.2021.00151 | 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021) |
DocType | ISSN | Citations |
Conference | 2160-7508 | 0 |
PageRank | References | Authors |
0.34 | 18 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianhao Jiao | 1 | 19 | 6.68 |
| Huaiyang Huang | 2 | 15 | 5.34 |
| Liang Li | 3 | 0 | 0.34 |
| Zhijian He | 4 | 0 | 1.35 |
| Yilong Zhu | 5 | 6 | 6.16 |
| Ming Liu | 6 | 775 | 94.83 |