Object detection and classification are the basic tasks in video analytics and become the
starting point for other complex applications. Traditional video analytics approaches are …

Due to the recent advances in cameras, cell phones and camcorders, particularly the
resolution at which they can record an image/video, large amounts of data are generated …

This survey reports the approaches for object detection and successful target tracking based
on image acquisition for real time applications. Moving target detection and its tracking is an …

Traffic monitoring is a challenging task on crowded roads. Traditional traffic monitoring
procedures are manual, expensive, time consuming and involve human operators. They are …

Moving object analysis is one of the most important and challenging research subjects in
computer vision, video processing and robotics. This analysis is three folds: object detection …

In this paper, we propose the intelligent unmanned anti-theft system using network cameras.
To do this, we use two Internet Protocol (IP) cameras, which are installed at the inside and …

The need for an automated sorting system cannot be overemphasized due to the growing
needs for high throughput and accuracy. Manual sorting method may achieve good …

Increasing concern for urban public safety has motivated the deployment of a large number
of surveillance cameras in open spaces such as city squares, stations, and shopping malls …

Automatic target recognition based on the long wave infrared (LIR) and visible-light
spectrum (VIS) image matching is a very challenging problem. It is due to the fact that the …

In this paper, we propose a compact Convolutional Neural Network (CNN)-based tracker in
conjunction with a particle filter architecture, in which the CNN model operates as an …