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

Aleksandr I. Nikolskyy; Vladimir G. Krasilenko; Yosyp Y. Bilynsky; Anzhelika Starovier

doi:10.1117/12.2261424

5 April 2017 Using LabView for real-time monitoring and tracking of multiple biological objects

Aleksandr I. Nikolskyy, Vladimir G. Krasilenko, Yosyp Y. Bilynsky, Anzhelika Starovier

Proceedings Volume 10170, Health Monitoring of Structural and Biological Systems 2017; 101703H (2017) https://doi.org/10.1117/12.2261424
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

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.

Citation Download Citation

Aleksandr I. Nikolskyy, Vladimir G. Krasilenko, Yosyp Y. Bilynsky, and Anzhelika Starovier "Using LabView for real-time monitoring and tracking of multiple biological objects", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 101703H (5 April 2017); https://doi.org/10.1117/12.2261424

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