Real-Time Adaptive Multi-Classifier Multi-Resolution Visual Tracking Framework for Unmanned Aerial Vehicles

However, the provision of vehicles with Internet access by partially re-using the multi-hop VANET system architecture that is used for supporting safety applications is a problem

In our PIORT (Probabilistic Integrated Object Recognition and Tracking) framework, the static recognition module is based on the use of a classifier that is trained from examples

Point cloud density analyses are presented in order to achieve the optimal rotation speed depending on the vehicle speed, distance to obstacles, etc.. The proposed system is able

The laptop equipped with an on-board tracking algorithm utilizes the video frames from the PTZ camera and apply the tracking algorithm to locate the target (Lecturer) and

There is an important body of literature using multi-criteria distance function methods for the aggregation of a battery of sustainability indicators in order to obtain a

We discuss various examples and the application of this new linear classifier in two situations under which standard rules may fail: When there is a fraction of outliers in the

This project belongs to the visual servoing field, as its main purpose is tracking and controlling the motion of a robot in real time using visual feedback provided by an

RAJSSC tracker is a correlation filter based tracking, which is able to simultaneously model target appearance changes from spatial displacements, scale variations, and