Recently, some successful applications used by robust principal component analysis
(RPCA) have boosted the exploration of pattern recognition, especially for moving object …

Vehicle detection in videos is a valuable but challenging technology in traffic monitoring.
Due to the advantage of real-time detection, Single Shot MultiBox Detector (SSD) is often …

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

This paper focuses on moving-target detection and tracking in a three-dimensional (3D)
space, and proposes a visual target tracking system only using a two-dimensional (2D) …

Moving object detection is still a challenging task in complex scenes. The existing methods
based on deep learning mainly use U-Nets and have achieved amazing results. However …

Rapid, automated processing of video is motivated in part by the sheer volume of camera
data (eg, London has more than 500,000 cameras). Multiple Object Tracking (MOT) is a …

Background subtraction is an important topic in computer vision and video analysis. It is
challenging to robustly segment foreground and background in complex scenarios. In the …

Motion object detection (MOD) with freely moving cameras is a challenging task in computer
vision. To extract moving objects, most studies have focused on the difference in motion …

A simple and robust methodology for plant disease diagnosis using images in the visible
spectrum of plants, even in uncontrolled environments, is presented for possible use in …

Background initialization is used in video processing applications to extract a scene without
the foreground scene. In recent times, the issue of background initialization has gained …