Visual surveillance for moving vehicles

被引：74

作者：

Ferryman, JM ^{[1
]}

Maybank, SJ ^{[1
]}

Worrall, AD ^{[1
]}

机构：

[1] Univ Reading, Dept Comp Sci, Computat Vis Grp, Reading RG6 6AY, Berks, England

来源：

INTERNATIONAL JOURNAL OF COMPUTER VISION | 2000年 / 37卷 / 02期

关键词：

model-based vision; surveillance; traffic scene analysis; vehicle tracking; filtering;

D O I：

10.1023/A:1008155721192

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An overview is given of a vision system for locating, recognising and tracking multiple vehicles, using an image sequence taken by a single camera mounted on a moving vehicle. The camera motion is estimated by matching features on the ground plane from one image to the next. Vehicle detection and hypothesis generation are performed using template correlation and a 3D wire frame model of the vehicle is fitted to the image. Once detected and identified, vehicles are tracked using dynamic filtering. A separate batch mode filter obtains the 3D trajectories of nearby vehicles over an extended time. Results are shown for a motorway image sequence.

引用

页码：187 / 197

页数：11

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