Using LabView for real-time monitoring and tracking of multiple biological objects

被引：1
|
作者：
Nikolskyy, Aleksandr I. [1 ]
Krasilenko, Vladimir G. [2 ]
Bilynskyy, Yosyp Y. [1 ]
Starovier, Anzhelika [3 ]
机构：
[1] Vinnytsia Natl Tech Univ, Vinnytsia, Ukraine
[2] Vinnytsia Social Econ Inst, Vinnytsia, Ukraine
[3] Natl Pirogov Mem Med Univ, Vinnytsia, Ukraine
来源：
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2017 | 2017年 / 10170卷
关键词：
classification; tracking process; pattern matching; plurality of biological objects; pre-processing algorithms;
D O I：
10.1117/12.2261424
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Today real-time studying and tracking of movement dynamics of various biological objects is important and widely researched. Features of objects, conditions of their visualization and model parameters strongly influence the choice of optimal methods and algorithms for a specific task. Therefore, to automate the processes of adaptation of recognition-tracking algorithms, several Labview project trackers are considered in the article. Projects allow changing templates for training and retraining the system quickly. They adapt to the speed of objects and statistical characteristics of noise in images. New functions of comparison of images or their features, descriptors and pre-processing methods will be discussed. The experiments carried out to test the trackers on real video files will be presented and analyzed.
引用
收藏
页数：11
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