During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …

Detection of stationary foreground objects (ie, moving objects that remain static throughout
several frames) has attracted the attention of many researchers over the last decades and …

One indispensable element within security systems deployed at public venues such as
airports, bus stops, train stations, and marketplaces is video surveillance. The evolution of …

Abandoned objects detection is one of the most challenging tasks in intelligent video
surveillance systems. In this paper we present a new method for detecting abandoned …

We propose a novel approach for stationary foreground detection in crowds based on the
spatio-temporal evolution of multiple features. A generic framework is presented to detect …

The ability of most existing approaches to classify abandoned and removed objects (AROs)
in images is affected by external environmental conditions such as illumination and traffic …

This paper proposes a three‐dimensional (3D) human posture estimation system that
locates 3D significant body points based on 2D body contours extracted from two cameras …

In this paper, we implement a low-cost solution to detect abandoned and removed objects.
To detect abandoned and stolen objects, the focus is to determine static regions that have …

Traffic congestion is one of the leading reasons for the development of intelligent
transportation systems (ITS). Traffic incidents are the second biggest cause of traffic …

In recent times, there is an enormous growth of data, which raises the need for a system that
handles it efficiently. The emergence of deep learning and machine learning algorithms has …