Preprocesamiento de video para la mejora del seguimiento de animales

Liliana Saucedo-Díaz; José Antonio Guerrero-Díaz De León; Jorge Eduardo Macías-Díaz

doi:10.33064/iycuaa2025956465

Authors

Liliana Saucedo-Díaz Autonomous University of Aguascalientes https://orcid.org/0009-0000-9960-0230
José Antonio Guerrero-Díaz De León Autonomous University of Aguascalientes https://orcid.org/0000-0002-1804-279X
Jorge Eduardo Macías-Díaz Autonomous University of Aguascalientes https://orcid.org/0000-0002-7580-7533

DOI:

https://doi.org/10.33064/iycuaa2025956465

Keywords:

Video processing, RGB color space, red lighting, animal tracking, morphological filters, object detection

Abstract

This work presents a video processing algorithm designed to enhance quality and facilitate tracking of a rat in a red-lit environment, optimized for Fiji software. The algorithm uses techniques such as general and morphological filters, dimension changes, frame subtraction, and thresholding. These techniques were chosen for their effectiveness in reducing noise and highlighting objects under red light. Additionally, adjustments to the experimental environment are proposed to improve contrast and tracking accuracy.

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Author Biographies

Liliana Saucedo-Díaz, Autonomous University of Aguascalientes

Department of Computer Science, Center for Basic Sciences, Autonomous University of Aguascalientes.

José Antonio Guerrero-Díaz De León, Autonomous University of Aguascalientes

Department of Statistics, Center for Basic Sciences, Autonomous University of Aguascalientes.

Jorge Eduardo Macías-Díaz, Autonomous University of Aguascalientes

Department of Mathematics and Physics, Center for Basic Sciences, Autonomous University of Aguascalientes.

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