Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach

Takeshi Hatanaka; Riku Funada; Gülsüm Gezer; Masayuki Fujita

doi:10.1016/j.ifacol.2016.10.398

Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach

Takeshi Hatanaka, Riku Funada, Gülsüm Gezer, Masayuki Fujita

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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	https://doi.org/10.1016/j.ifacol.2016.10.398
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

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10.1016/j.ifacol.2016.10.398

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title = "Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach",

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.",

keywords = "3-D Human Localization, Camera Network, Distributed Optimization, Passivity, Pedestrian Detection Algorithm",

author = "Takeshi Hatanaka and Riku Funada and G{\"u}ls{\"u}m Gezer and Masayuki Fujita",

year = "2016",

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language = "English",

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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

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ER -

Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach

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Keywords

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