Object Tracking Using the Parametric Active Contour Model in Video Streams

被引：0

作者：

Ciecholewski, Marcin ^{[1
]}

机构：

[1] Jagiellonian Univ, Chair Optimizat & Control, Fac Math & Comp Sci, Ul Lojasiewicza 6, PL-30348 Krakow, Poland

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS, CORES 2015 | 2016年 / 403卷

关键词：

SEGMENTATION; IMAGES;

D O I：

10.1007/978-3-319-26227-7_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article proposes a new approach which helps to prevent the formation of self-crossings and loops in the parametric active contour model while tracking moving objects in video streams. The presented solutions mean that the process of tracking is stable in all subsequent video sequences. On the other hand, self-crossings of nodes and the resultant contour loops happen very often in the basic model and ruin the tracking process. The Gaussian filter was used to eliminate noise from video streams.

引用

页码：421 / 429

页数：9

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