This paper gives the survey of the existing developments of Visual object target tracking
using particle filter from the last decade and discusses the advantage and disadvantages of …

Camera tracking systems have become a common requirement in today's society. The
availability of high-quality and inexpensive video cameras and the increasing need for …

This work is oriented toward video tracking of vehicles in a typical traffic environment, based
on particle filters. The proposed tracking algorithm is based on simultaneous usage of three …

In this paper, we propose a new observation model with optimizing particle filter framework
for visual object tracking in the present of occlusion. Most of the existing algorithms are able …

In this paper, we present a new method for object tracking. We use an efficient local search
scheme based on the probability product kernel using particle filter (PPKPF) to find the …

This paper presents an effective rotating object tracking algorithm based on Multi-Part SIFT
(MPS) with particle filter. SIFT describes the characteristics of feature points that are invariant …

Particle Filters (PFs), are widely used where the system is non Linear and non Gaussian.
Choosing the importance proposal distribution is a key issue for solving nonlinear filtering …

There are a continuously increasing number of applications where moving objects should
be tracked in a video sequence. This research work has been directed to and focused on …

Recently, because of its importance in computer vision and surveillance systems, object
tracking has progressed rapidly. In this paper a novel strategy for tracking multiple objects …

There are a continuously increasing number of applications where moving objects should
be tracked in a video sequence. This research work has been directed to and focused on …