Computer vision remains challenged by tracking multiple objects in motion frames, despite
efforts to improve surveillance, healthcare, and human-machine interaction. This paper …

This paper presents methods for tracking moving objects in an outdoor environment. A
robust tracking is achieved using feature fusion and multiple cameras. The proposed …

As the technology is advancing with rapid pace, the cost of video cameras and digital media
storage is affordable. In recent years, we have seen a remarkable increase in the amount of …

Remote monitoring is an important application of intelligent transportation systems (ITSs).
The combination of monitoring equipment and tracking algorithms can be used to …

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 …

This paper proposes an automatic object tracking method based on both object
segmentation and motion estimation for real-time content-oriented video applications. The …

Inspite extensive research on visual tracking of multiple people in computer vision area, the
robustness and usability of visual trackers are still discouraging. Recently, a few laser-based …

Tracking in low frame rate (LFR) videos is one of the most important problems in the tracking
literature. Most existing approaches treat LFR video tracking as an abrupt motion tracking …

It is important to maintain the identity of multiple targets while tracking them in some
applications such as behavior understanding. However, unsatisfying tracking results may be …

Recently, as the risk of crime and accidents increases, interest in security and surveillance of
individuals and the public is increasing rapidly, and video surveillance system technology is …