Smart parking management systems that provide drivers with real-time information about
availability and location of parking spaces are high among the wish list of urban dwellers …

Moving foreground detection is a very important step for many applications such as human
behavior analysis for visual surveillance, model-based action recognition, road traffic …

Object detection and tracking is a fundamental, challenging task in computer vision because
of the difficulties in tracking. Continuous deformation of objects during movement and …

Background subtraction is an important step involved in solving computer vision problems.
This paper proposes a novel background subtraction method with fully residual …

In the area of change detection, there were a rare number of optimization methods. Most of
the optimization methods that are used by change detection are morphological …

Background subtraction is crucial for detecting moving objects in videos. However, most
background subtraction methods usually fail to deal well with illumination changes, static …

Background subtraction approaches are used to detect moving objects with a high
recognition rate and less computation time. These methods face two challenges: selecting …

Background subtraction is a significant task in computer vision and an essential step for
many real world applications. One of the challenges for background subtraction methods is …

摘要背景消减是计算机视觉和模式识别的关键技术之一. 本文提出一种新的背景消减算法,
该算法首先利用中值滤波算法进行背景数据的获取, 然后基于贝叶斯生成对抗网络进行训练 …

Nowadays, deep learning is impacting computer vision applications significantly by learning
to extract and describe the essential features that can assist in solving a specific problem …