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 |
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Keywords
- 3-D Human Localization
- Camera Network
- Distributed Optimization
- Passivity
- Pedestrian Detection Algorithm
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm : A Passivity-Based Approach. / Hatanaka, Takeshi; Funada, Riku; Gezer, Gülsüm; Fujita, Masayuki.
In: IFAC-PapersOnLine, Vol. 49, No. 22, 01.01.2016, p. 210-215.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm
T2 - A Passivity-Based Approach
AU - Hatanaka, Takeshi
AU - Funada, Riku
AU - Gezer, Gülsüm
AU - Fujita, Masayuki
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - 3-D Human Localization
KW - Camera Network
KW - Distributed Optimization
KW - Passivity
KW - Pedestrian Detection Algorithm
UR - http://www.scopus.com/inward/record.url?scp=84994108069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994108069&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2016.10.398
DO - 10.1016/j.ifacol.2016.10.398
M3 - Article
AN - SCOPUS:84994108069
VL - 49
SP - 210
EP - 215
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 22
ER -