In this work, we propose a novel tracking algorithm with real-time performance based on the
'Actor-Critic'framework. This framework consists of two major components:'Actor'and 'Critic' …

The mean-shift procedure is a popular object tracking algorithm since it is fast, easy to
implement and performs well in a range of conditions. We address the problem of scale …

Abstract The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at
comparing short-term single-object visual trackers that work on thermal infrared (TIR) …

Background It is estimated that 33.5 million people in the world have developed atrial
fibrillation (AF), and an estimated 30% of patients with AF are unaware of their diagnosis …

Object tracking is one of the key components of the perception system of autonomous cars
and ADASs. With tracking, an ego-vehicle can make a prediction about the location of …

We describe a novel method to monitor pulse rate (PR) on a continuous basis of patients in
a neonatal intensive care unit (NICU) using videos taken from a high definition (HD) …

Mean-Shift tracking is a popular algorithm for object tracking since it is easy to implement
and it is fast and robust. In this paper, we address the problem of scale adaptation of the …

Thermal cameras have historically been of interest mainly for military applications.
Increasing image quality and resolution combined with decreasing price and size during …

The mean shift algorithm is a simple yet very effective clustering method widely used for
image and video segmentation as well as other exploratory data analysis applications …

MeanShift is a popular mode-seeking clustering algorithm used in a wide range of
applications in machine learning. However, it is known to be prohibitively slow, with …