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 …

Object tracking belongs to active research areas in computer vision. We are interested in
matching-based trackers exploiting deep machine learning known as Siamese trackers …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

This article addresses the usage and scope of Big Data Analytics in video surveillance and
its potential application areas. The current age of technology provides the users, ample …

Periodic cleaning of all frequently touched social areas such as walls, doors, locks, handles,
windows has become the first line of defense against all infectious diseases. Among those …

This paper presents a special matrix factorization based on sparse representation that
detects anomalies in video sequences generated with moving cameras. Such …

Commonly, an algorithm needs a certain number of variables that control its behavior. The
optimal values result in a better performance that could generate profits for companies …

Convolutional neural networks (ConvNets) coupled with long short term memory (LSTM)
networks have been recently shown to be effective for video classification as they combine …

Moving object tracking is one of the applied fields in artificial intelligence and robotic. The
main objective of object tracking is to detect and locate targets in video frames of real …

In this paper, we propose a novel approach for exploiting structural relations to track multiple
objects that may undergo long-term occlusion and abrupt motion. We use a model-free …