Abstract
In this paper, we investigate a distributed visual 3-D localization of a human using a pedestrian detection algorithm for a camera network. We first formulate the problem as a distributed optimization problem. Then, PI consensus estimator-based distributed optimization scheme is extended so that it is applicable to the present problem. We then prove convergence to the optimal solution based on the passivity paradigm. We finally demonstrate the present solution through simulation both in static and dynamic cases.
| Original language | English |
|---|---|
| Pages (from-to) | 210-215 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 49 |
| Issue number | 22 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
| Externally published | Yes |
Keywords
- 3-D Human Localization
- Camera Network
- Distributed Optimization
- Passivity
- Pedestrian Detection Algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
Fingerprint Dive into the research topics of 'Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach'. Together they form a unique fingerprint.
Cite this
Hatanaka, T., Funada, R., Gezer, G., & Fujita, M. (2016). Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach. IFAC-PapersOnLine, 49(22), 210-215. https://doi.org/10.1016/j.ifacol.2016.10.398