We present a new particle filter method for visual object tracking to effectively handle
occlusion and fast motion. The proposed approach uses a chaotic local search to model …

Image denoising techniques are very important in modern digital image processing. Many
classical denoising algorithms have evolved over the years, such as Butterworth filter, Mean …

Video stabilization technique is often used in handheld multimedia devices, whereas the
difficulties in the accurate extraction aspect of global motion vectors restrict its development …

In this paper, a chaotic particle filter method is introduced to improve the performance of
particle filter based on chaos theory. The methodology of the algorithm includes two steps …

Candidate regions extraction is a crucial problem in object detection. In this study, a new
algorithm is proposed for extracting candidate regions of intruder airplane to assist with …

In modern industrial and engineering fields, fatigue detection of equipment and structures is
an important link to ensure safety and extend service life. Traditional detection methods …

In visual tracking, most of the tracking methods suffer from abrupt motions. To address this
problem, we propose a novel method for tracking abrupt motions using objectness …

In this paper, a three-step-ahead prediction method is introduced using chaotic dynamics for
state estimation in object tracking. The nonlinear movement of an object is embedded into a …

Binary image denoising is a well-known problem, and it is the concern of diverse application
areas. Many classical denoising techniques have evolved over the years, such as mean …

This thesis is concerned with the challenging tasks of automatic and real-time vehicle
detection and tracking from aerial video. The aim of this thesis is to build an automatic …