In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …

This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

Moving object detection is a fundamental step in various computer vision applications.
Robust principal component analysis (RPCA)-based methods have often been employed for …

We introduce the notion of semantic background subtraction, a novel framework for motion
detection in video sequences. The key innovation consists to leverage object-level …