In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

Object tracking based on single sensor image sequences is now proved to be insufficient
when facing complex challenging factors such as occlusions, background clutter …

To track the target in a video, current visual trackers usually adopt greedy search for target
object localization in each frame, that is, the candidate region with the maximum response …

An efficient traffic management system is crucial for public transportation. If the passenger
flow can be detected accurately and instantaneously, the routes and schedules for public …

Real-time multichannel video analysis is significant for intelligent transportation.
Considering that deep learning and correlation filter (CF) tracking are time-consuming, a …

Many objective tracking methods are based on the framework of correlation filtering (CF)
due to its high efficiency. In this paper, we propose a-norm based sparse response …

Visual object tracking is a very important task in computer vision. This paper develops a
method based on the convolutional neural network (CNN) and correlation filters for visual …

Correlation filter (CF) has recently been widely used for visual tracking. The estimation of the
search window and the filter-learning strategies is the key component of the CF trackers …

In Mobile Robotics, visual tracking is an extremely important sub-problem. Some solutions
found to reduce the problems arising from partial and total occlusion are the use of multiple …

The common method of red and white blood cells identification and counting consider the
manual processes on microscope which is arranged by the laboratory's technician with their …