REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS

被引：0

作者：

Nieto, M. ^{[1
]}

Unzueta, L. ^{[1
]}

Cortes, A. ^{[1
]}

Barandiaran, J. ^{[1
]}

Otaegui, O. ^{[1
]}

Sanchez, P. ^{[2
]}

机构：

[1] Vicomtech IK4 Res Alliance, Donostia San Sebastian, Spain

[2] IKUSI, Donostia San Sebastian, Spain

来源：

VISAPP 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS | 2011年

关键词：

Computer vision; Monocamera; Traffic flow surveillance; 3D modeling; TRACKING;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new method for 3D vehicle modeling in low-cost monocamera surveillance systems is introduced in this paper. The proposed algorithm aims to resolve the projective ambiguity of 2D image observations by means of the integration of temporal information and model priors within a Markov Chain Monte Carlo (MCMC) method. The method is specially designed to work in challenging scenarios, with noisy and blurred 2D observations, where traditional edge-fitting or feature-based methods fail. Tests have shown excellent estimation results for traffic-flow video surveillance applications, that can be used to classify vehicles according to their length, width and height.

引用

页码：459 / 464

页数：6

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