Robust Tracking for Small Target Groups With Dynamic Outlines

Dynamic ensemble for target tracking

On-line boosting is a recent breakthrough in the machine learning literature that has opened new possibilities in many diverse fields. Instead of generating a static strong classifier off-line, the classifier can be built on-the-fly on incoming samples. This has been successfully exploited in treating computer vision tasks such as tracking as a classification problem thus providing an intriguin...

Robust Coordination of Small UAVs for Vision-based Target Tracking using Output-Feedback MPC with MHE

Optimal Waveform Selection for Robust Target Tracking

This paper proposes a new optimal waveform selection algorithm for intelligent target tracking. In radar systems, optimal waveform is inspired by the improvements in performance. When the target is intelligent and tries to escape from detection, it will maximize the estimation error to degrade the target tracking performance. So the conventional tracking algorithms are not suitable for this sit...

Context-assisted Tracking for Dynamic Target Augmentation

ONTEXT-AWARENESS in computer vision is expected to bring improvements of computation efficiency by filtering out search targets based on context. The problem is to analyze which contexts are useful for a given problem and determine how to exploit them. Previous researches showed that spatial context is used effectively. One famous application is to use the proximity of a moving camera to exhibi...

Quadrotor UAV Guidence For Ground Moving Target Tracking

The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...