77 citations · 79 across the 2 of their papers we have counts for
5 papers
Filtering Point Targets via Online Learning of Motion Models
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Filtering point targets in highly cluttered and noisy data frames can be very challenging, especially for complex target motions. Fixed motion models can fail to provide accurate p…
Nasal Patches and Curves for Expression-robust 3D Face Recognition
Mehryar Emambakhsh, Adrian Evans
The potential of the nasal region for expression robust 3D face recognition is thoroughly investigated by a novel five-step algorithm. First, the nose tip location is coarsely dete…
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Defining a multi-target motion model, which is an important step of tracking algorithms, can be very challenging. Using fixed models (as in several generative Bayesian algorithms,…
Deep Recurrent Neural Network for Multi-target Filtering
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
This paper addresses the problem of fixed motion and measurement models for multi-target filtering using an adaptive learning framework. This is performed by defining target tuples…
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors
Marcel Sheeny, Andrew Wallace, Mehryar Emambakhsh +2
For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions. In particular, long wave infrared (LW…