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Found 5 papers, 1 papers with code
Filtering Point Targets via Online Learning of Motion Models
Filtering point targets in highly cluttered and noisy data frames can be very challenging, especially for complex target motions.
Nasal Patches and Curves for Expression-robust 3D Face Recognition
In the third step, a feature extraction algorithm based on the surface normals of Gabor-wavelet filtered depth maps is utilised and, then, a set of spherical patches and curves are localised over the nasal region to provide the feature descriptors.
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking
Defining a multi-target motion model, which is an important step of tracking algorithms, can be very challenging.
Deep Recurrent Neural Network for Multi-target Filtering
This paper addresses the problem of fixed motion and measurement models for multi-target filtering using an adaptive learning framework.
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors
For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions.
