Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

With the increase in video surveillance data, techniques such as video synopsis are being
used to construct small videos for analysis, thereby saving storage resources. The video …

The proliferation of surveillance cameras has resulted in an exponential growth in video
data, which has created several challenges for video data analysis, extraction, and storage …

The commercialization and advancement of unmanned aerial vehicles (UAVs) have
increased in the past decades for surveillance. UAVs use gimbal cameras and LIDAR …

This paper focuses on image characteristics of railway monitoring scenes, and proposed a
multi-scale image and dynamic candidate region-based automatic detection of foreign …

Video Surveillance is an active area of research and provides promising security measures
for consumer applications. To ease consumer surveillance investigations, Video Synopsis …

To detect ship targets in dynamic sea backgrounds, a robust foreground detection method
based on background modeling combined with multiple features in the Fourier domain …

In the computer vision, background extraction is a promising technique. It is characterized by
being applied in many different real time applications in diverse environments and with …

Low-light conditions present a myriad of intricacies for object detection, with many existing
methods relying primarily on image enhancement before detection. Sometimes, the …

To identify recyclable garbage via the garbage classification is an effective countermeasure
for protecting the environment. An automatic classification system supported by image …