Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

As one of the fundamental problems in the field of video understanding, video object
segmentation aims at segmenting objects of interest throughout the given video sequence …

Unsupervised video object segmentation (UVOS) aims at segmenting the primary objects in
videos without any human intervention. Due to the lack of prior knowledge about the primary …

In this paper, a new video moving object tracking method is proposed. In initialization, a
moving object selected by the user is segmented and the dominant color is extracted from …

There is an urgent need to develop techniques that organize video data into more compact
forms or extract semantically meaningful information. Such operations can serve as a first …

Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

Intrusion detection systems (IDSs) must be capable of detecting new and unknown attacks,
or anomalies. We study the problem of building detection models for both pure anomaly …

In a fully automatic cell extraction process, one of the main issues to overcome is the
problem related to extracting overlapped nuclei since such nuclei will often affect the …

Visual object tracking has become one of the most active research topics in computer vision,
which has been growing in commercial development as well as academic research. Many …

We present a method for browsing videos by directly dragging their content. This method
brings the benefits of direct manipulation to an activity typically mediated by widgets. We …