An efficient and effective localization method for networked disjoint top-view cameras

Liu, Yan, Wang, Qiang, Liu, Junbin, Chen, Juan, & Wark, Tim (2013) An efficient and effective localization method for networked disjoint top-view cameras. IEEE Transactions on Instrumentation and Measurement, 62(9), pp. 2526-2537.

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Abstract

Disjoint top-view networked cameras are among the most commonly utilized networks in many applications. One of the open questions for these cameras' study is the computation of extrinsic parameters (positions and orientations), named extrinsic calibration or localization of cameras. Current approaches either rely on strict assumptions of the object motion for accurate results or fail to provide results of high accuracy without the requirement of the object motion. To address these shortcomings, we present a location-constrained maximum a posteriori (LMAP) approach by applying known locations in the surveillance area, some of which would be passed by the object opportunistically. The LMAP approach formulates the problem as a joint inference of the extrinsic parameters and object trajectory based on the cameras' observations and the known locations. In addition, a new task-oriented evaluation metric, named MABR (the Maximum value of All image points' Back-projected localization errors' L2 norms Relative to the area of field of view), is presented to assess the quality of the calibration results in an indoor object tracking context. Finally, results herein demonstrate the superior performance of the proposed method over the state-of-the-art algorithm based on the presented MABR and classical evaluation metric in simulations and real experiments.

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ID Code: 69758
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Calibration, Camera networks, External parameters, Localization, Nonoverlapping fields of view
DOI: 10.1109/TIM.2013.2255987
ISSN: 1557-9662
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Institute of Electrical and Electronics Engineers
Deposited On: 03 Apr 2014 02:38
Last Modified: 03 Apr 2014 21:36

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