Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

Hardhats are an important safety measure used to protect construction workers from
accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order …

Computer vision has undergone a dramatic revolution in performance, driven in large part
through deep features trained on large-scale supervised datasets. However, much of these …

The Self-Organizing Background Subtraction (SOBS) algorithm implements an approach to
moving object detection based on the neural background model automatically generated by …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

In recent years, the satellite videos have been captured by moving satellite platforms. In
contrast to consumers, movies, and common surveillance videos, satellite videos can record …

This paper presents an effective method for the detection and tracking of multiple moving
objects from a video sequence captured by a moving camera without additional sensors …

Discrete surface defects are the most common anomalies of rails and they should be
carefully inspected. However, it is a challenge to detect such defects in a vision system …

This paper presents an effective approach for detecting abandoned luggage in surveillance
videos. We combine short-and long-term background models to extract foreground objects …