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Deep Convolutional Neural Network Applied to Quality Assessment for Video Tracking
The purpose of this paper is to deploy an algorithm that can automatically assess the presence of exposure distortion in videos.
Evaluation of Object Trackers in Distorted Surveillance Videos
In this work we aim to evaluate two state-of-the-art trackers (STRUCK and TLD) systematically and experimentally in surveillance videos affected by in-capture distortions such as under-exposure and defocus.
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach
Parkinson's disease (PD) is a degenerative condition of the nervous system, which manifests itself primarily as muscle stiffness, hypokinesia, bradykinesia, and tremor.
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