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Camera-trap images segmentation using multi-layer robust principal component analysis
Our method computes sparse and low-rank images from a weighted sum of descriptors, using color and texture features as case of study for camera-trap images segmentation.
Automatic Identification of Scenedesmus Polymorphic Microalgae from Microscopic Images
Microalgae counting is used to measure biomass quantity.
Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks
The segmentation and classification of animals from camera-trap images is due to the conditions under which the images are taken, a difficult task.
Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms
In this paper we propose an automatic segmentation and identification algorithm based on artificial vision algorithms to recognize Diploglossus millepunctatus.
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