Background subtraction is one of the key techniques for automatic video analysis, especially
in the domain of video surveillance. Although its importance, evaluations of recent …

Automated tracking of animal movement allows analyses that would not otherwise be
possible by providing great quantities of data. The additional capability of tracking in real …

Video-based traffic flow monitoring is a fast emerging field based on the continuous
development of computer vision. A survey of the state-of-the-art video processing techniques …

Surveillance in a maritime environment is indispensable in the fight against a wide range of
criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking …

This paper proposes an effective, four-stage smoke-detection algorithm using video images.
In the first stage, an approximate median method is used to segment moving regions in a …

The pervasiveness of mobile devices increases the risk of exposing sensitive information on
the go. In this paper, we arise this concern by presenting an automatic attack against …

In real-time, it is highly essential to have an autonomous translator that can process the
images and recognize the signs very fast at the speed of streaming images. In this paper …

Background subtraction is important for detecting moving objects in videos. Currently, there
are many approaches to performing background subtraction. However, they usually neglect …

In this paper, a novel view invariant person identification method based on human activity
information is proposed. Unlike most methods proposed in the literature, in which “walk”(ie …

Human action analyses and recognition are challenging problems due to large variations in
human motion and appearance, camera viewpoint and environment settings. The field of …