comparative study

This study evaluates 25 classification models and five feature extraction techniques—including deep learning and traditional methods—for animal re-identification using annotated video datasets. Surprisingly, simple linear classifiers like Linear Discriminant Analysis (LDA) combined with basic RGB colour features outperformed deep learning models, highlighting the importance of comparative testing and the potential effectiveness of simpler approaches in complex, real-world scenarios.