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Found 12 papers, 2 papers with code
Counting Cells in Time-Lapse Microscopy using Deep Neural Networks
In this paper, a method for microscopy cell counting using multiple frames (hence temporal information) is proposed.
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.
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.
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.
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
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 habitat.
Automatic segmentation of lizard spots using an active contour model
Animal biometrics is a challenging task.
HMM and DTW for evaluation of therapeutical gestures using kinect
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 difficulty in using noisy data to determine if these constraints were satisfied.
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns
Non-intrusive biometrics of animals using images allows to analyze phenotypic populations and individuals with patterns like stripes and spots without affecting the studied subjects.
Review of Statistical Shape Spaces for 3D Data with ComparativeAnalysis for Human Faces
Due to the wide avail-ability of databases of high-quality data, we use the human face as the specific shape we wish to extract from corrupted data.
Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces
Due to the wide availability of databases of high-quality data, we use the human face as the specific shape we wish to extract from corrupted data.
Fully Automatic Expression-Invariant Face Correspondence
The predicted landmarks are then used to compute point-to-point correspondences between a template model and the newly available scan.
