activity
20162018
most citedAutomatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks

9 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20182 cited

Counting Cells in Time-Lapse Microscopy using Deep Neural Networks

Alexander Gomez Villa, Augusto Salazar, Igor Stefanini

An automatic approach to counting any kind of cells could alleviate work of the experts and boost the research in fields such as regenerative medicine. In this paper, a method for…

cs.CV20179 cited

Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gomez +1

The segmentation and classification of animals from camera-trap images is due to the conditions under which the images are taken, a difficult task. This work presents a method for…

cs.CV2016

Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks

Alexander Gomez, Augusto Salazar, Francisco Vargas

Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their h…

cs.CV2016

Automatic segmentation of lizard spots using an active contour model

Jhony Giraldo, Augusto Salazar

Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern re…

cs.HC2016

HMM and DTW for evaluation of therapeutical gestures using kinect

Carlos Palma, Augusto Salazar, Francisco Vargas

Automatic recognition of the quality of movement in human beings is a challenging task, given the difficulty both in defining the constraints that make a movement correct, and the…