Real-time correlogram tracking for airborne traffic surveillance

被引：1

作者：

Kalarot, Ratheesh ^{[1
]}

Morris, John ^{[1
]}

机构：

[1] Univ Auckland, Dept Comp Sci, Auckland 1, New Zealand

来源：

2009 24TH INTERNATIONAL CONFERENCE IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2009) | 2009年

关键词：

machine vision; tracking; airborne; correlogram; cooccurence; histogram; unmanned aerial vehicle; traffic surveillance;

D O I：

10.1109/IVCNZ.2009.5378414

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a real-time moving object tracking system for airborne traffic video surveillance. The motion segmentation and tracking in this scenario is difficult because of the small size of the object, motion of camera and inconsistency in detected object shape. Here we present correlogram template matching system employed for tracking. Candidate objects for tracking are initially tagged by moving object segmentation. Tagged objects are then tracked using a novel integral histogram approach which provides good tradeoff between memory and processing time. Common model drift problem in the tag and track scenario is addressed by feedback mechanism.

引用

页码：18 / 22

页数：5

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