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

作     者：Hatanaka, Takeshi Funada, Riku Gezer, Gülsüm Fujita, Masayuki 

作者机构：Dept. Systems and Control Engineering School of Engineering Tokyo Institute of Technology 2-12-1 S5-16 O-okayama Meguro-ku Tokyo152-8550 Japan Dept. Control and Automation Eng. Yildiz Tech. Univ. Turkey 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2016年第49卷第22期

页      面：210-215页

核心收录：

基　　金：Japan Society for the Promotion of Science: 16J07893  25420430 

主　　题：Signal detection Cameras Camera network Distributed optimization Human localizations Passivity Pedestrian detection 

摘      要：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. © 2016