Robust moving target tracking has become an important topic in the field of computer vision. The fusion of feature such as color, texture, edge strength and motion has proved to be a promising approach to robust visual tracking in situations where no single feature is suitable. Due to the poor tracking performance in complicated scenarios, a new visual target tracking scheme is proposed. This a...

In this paper, we present a Probabilistic Detection-based Particle Filter (PD-PF) for tracking a variable number of interacting targets. When the objects do not interact with each other, our method performs like the deterministic detection-base methods. When the objects are in close proximity, the interactions and occlusions are modelled by a mixed proposal constructed by probabilistic detectio...

In this work a particle-tracking model was implemented and applied to simulate the instantaneous injection of a dye tracer in the Setubal Lagoon, Santa Fe, Argentina. It focused on the study of the water quality problem generated in point sources of contaminated water through a rainfall drainage system. This problem is difficult to treat with the so-called Eulerian methods. The interpolation fo...

We describe a novel method to track fluorescent particles in three dimensions with nanometre precision and millisecond time resolution. In this method, we use our two-photon excitation microscope. The galvomotor-driven x-y scanning mirrors allow the laser beam to move repetitively in a circular path with a radius of half the width of the point spread function of the laser. When the fluorescent ...

Particle degeneracy is one of the main problems when particle filters are applied to visual tracking. The effective solution methods on the degeneracy phenomenon include good choice of proposal distribution and use of resampling. In this paper, we propose a novel visualtracking algorithm using particle filters with Gaussian process regression and resampling techniques, which effectively abate t...

A full three-dimensional particle tracking system was developed and tested. By using three separate CCDs placed at the vertices of an equilateral triangle, the threedimensional location of particles can be determined. Particle locations measured at two different times can then be used to create a three-component, three-dimensional velocity field. Key developments are: the ability to accurately ...

In the field of video analysis and processing, object tracking is attracting more and more attention especially in traffic management, digital surveillance and so on. However problems such as objects’ abrupt motion, occlusion and complex target structures would bring difficulties to academic study and engineering application. In this paper, a fragmentsbased tracking method using the block relat...

In this paper, we present a new adaptive particle filter method for tracking multiple interacting targets. We introduce a sampling strategy to consecutively sample particles and adapt their spreading according to current measurements. For multiple targets, we develop a new concept of guiding the particles by current measurements of adjacent targets. Our method does not increase the computationa...

The tracking initiation problem is examined in the context of autonomous bearings-only-tracking (BOT) of a single appearing/disappearing target in the presence of clutter measurements. In general, this problem suffers from a combinatorial explosion in the number of potential tracks resulted from the uncertainty in the linkage between the target and the measurement (a.k.a the data association pr...

In this article, we present a novel Lagrangian particle tracking method derived from the perspective of tracking-by-detection paradigm that has been adopted by many vision tasks. Under paradigm, problem consists first learning function (the tracker) maps target particle’s image projection backwardly to its possible position inferred precedent information. The actual is then detected applying le...