This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...

Automatic detection and tracking of interesting targets from a sequence of images obtained from a reconnaissance platform is an interesting area of research for defense related application. Image registration is the basic step used in tracking application. The paper describes a brief review of some of the image registration algorithms, analyze their performance using a suitable image processing...

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...

We consider the problem of tracking n targets in the plane using 2n cameras, where tracking each target requires two distinct cameras. A single camera (modeled as a point) sees a target point in a certain direction, ideally with unlimited precision, and thus two cameras (not collinear with the target) unambiguously determine the position of the target. In reality, due to the imprecision of the ...

Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals’ privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking. A network of infrared sensors attached to the ceiling acts as a low-resolution, monochromatic cam...

Moving target detection and tracking algorithm research content is very broad and complex applications, without and different target features directly affects the detection of selected tracking algorithm. So far still does not exist a universal algorithm for perfect can be suitable for various applications, so the detection and tracking of moving targets is still a valuable research subject of....

A kernel-based metric measuring tracking reliability that is based on discriminative components of a kernel target model and kernel mutual information is presented. The discriminative components of the kernel target model are selected by computing the log-likelihood ratios of classconditional sample densities of these components from a target region and background sampled region. The components...

In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...

This paper presents a new approach to the real time single and multiple target detection and tracking problems with measurement input data. The new approach addresses the measurement uncertainty-of-origin issue by capturing all measurement input data information in the Bayesian conditional probability density function (PDF), used in the recursive propagation of the posterior target detection an...