Initialization of model-based vehicle tracking in video sequences of inner-city intersections

被引：47

作者：

Ottlik, A. ^{[1
]}

Nagel, H. -H. ^{[1
]}

机构：

[1] Univ Karlsruhe, Inst Algorithmen & Kognit Syst, D-76128 Karlsruhe, Germany

来源：

INTERNATIONAL JOURNAL OF COMPUTER VISION | 2008年 / 80卷 / 02期

关键词：

tracking; model-based; road-vehicle; Kalman-filter; initialization; traffic videos; optical-flow-field segmentation;

D O I：

10.1007/s11263-007-0112-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A fully automatic initialization approach for 3D-model-based vehicle tracking has been developed, based on Edge-Element and Optical-Flow association. An entire automatic initialization and tracking system incorporating this approach achieves results comparable to those obtained by earlier experiments based on semi-interactive initialization, provided the assessment criteria are roughly equivalent. Experiences with a large testing sample-about 15 minutes of inner-city traffic videos-are discussed in detail.

引用

页码：211 / 225

页数：15

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