Internet of Things (IoT) has brought changes in many fields by joining physical space with
the cyber space. The IoT devices are becoming increasingly complex. With the rapid …

Real-time object detection and tracking have shown to be the basis of intelligent production
for industrial 4.0 applications. It is a challenging task because of various distorted data in …

Purpose Multi-domain convolutional neural network (MDCNN) model has been widely used
in object recognition and tracking in the field of computer vision. However, if the objects to be …

Unmanned aerial vehicles (UAVs) have increased the convenience of urban life.
Representing the recent rapid development of drone technology, UAVs have been widely …

The performance of the tracking task directly depends on target object appearance features.
Therefore, a robust method for constructing appearance features is crucial for avoiding …

With the increasing application of computer vision technology in autonomous driving, robot,
and other mobile devices, more and more attention has been paid to the implementation of …

With the increasing popularity of Unmanned Aerial Vehicles (UAVs) in computer vision-
related applications, intelligent UAV video analysis has recently attracted the attention of an …

The performance of tracking task is directly dependent on the appearance features of target
object, a robust approach for constructing appearance features is crucial for adaptation the …

Visual tracking is a challenging problem since it usually faces adverse factors, such as
object deformation, fast motion, occlusion, and background clutter in practical applications …

Vehicle tracking task plays an important role on the Internet of vehicles and intelligent
transportation system. Beyond the traditional Global Positioning System sensor, the image …