Real-Time Particle Tracking using a Formation of UAVs*

Real-Time Camera Tracking Using a Particle Filter

We describe a particle filtering method for vision based tracking of a hand held calibrated camera in real-time. The ability of the particle filter to deal with non-linearities and non-Gaussian statistics suggests the potential to provide improved robustness over existing approaches, such as those based on the Kalman filter. In our approach, the particle filter provides recursive approximations...

New Models For Real-Time Tracking Using Particle Filtering

This paper presents new methods for efficient object tracking in video sequences using multiple features and particle filtering. A histogram-based framework is used to describe the features. Histograms are useful because have the property that they allow changes in the object appearance while the histograms remain the same. Particle filtering is used because it is very robust for non-linear and...

Real-Time Interference Detection in Tracking Loop of GPS Receiver

Global Positioning System (GPS) spoofing could pose a major threat for GPS navigation ‎systems, so the GPS users have to gain a better understanding of the broader implications of ‎GPS.‎ In this paper, a plenary anti-spoofing approach based on correlation is proposed to distinguish spoofing effects. The suggested ‎method can be easily implemented in tracking loop of GPS receiver...

Real-time nanomicroscopy via three-dimensional single-particle tracking.

We developed a new method for real-time, three-dimensional tracking of fluorescent particles. The instrument is based on a laser-scanning confocal microscope where the focus of the laser beam is scanned or orbited around the particle. Two confocal pinholes are used to simultaneously monitor regions immediately above and below the particle and a feedback loop is used to keep the orbit centered o...

Real-time image processing for particle tracking velocimetry