Algorithmic data fusion for multi-sensory system becomes extremely challenging, particularly where the elemental sensory units do vary in type, size and characteristics. Although traditional theories on sensory data fusion fit quite satisfactorily in searching a pre-defined object with a tentative dimension and depth perception, they fail to do justice in cases where profile of the object do va...

Particle filter algorithms are widely used for object tracking in video sequences, but the standard particle filter algorithm cannot solve the validity of particles ideally. To solve the problems of particle degeneration and sample impoverishment in a particle filter tracking algorithm, an improved object tracking algorithm is proposed, which combines ...

Spectral tetris is a flexible and elementary method to derive unit norm frames with a given frame operator having all of its eigenvalues ≥ 2. One important application of this method is to construct fusion frames. We will give necessary and sufficient conditions for a spectral tetris construction to give a fusion frame with prescribed eigenvalues for its fusion frame operator and with prescribe...

Algorithmic data fusion is instrumental in evaluating the quantitative output of a multisensory system and the same becomes extremely challenging, especially when the elemental sensory units do vary in type, size and characteristics. Truly, fusion of such heterogeneous sensory data remains an open-research paradigm till date, especially in the field of robotics, owing to its inherent characteri...

In this paper, we formulate some approaches to belief fusion and revision using epistemic logic semantics. Fusion operators considered in this paper are majority merging, arbitration, and general merging. Some modalities corresponding to belief fusion and revision operators are incorporated into epistemic logics. The Kripke semantics of these extended logics are presented. While most existing a...

In this paper, we propose some extensions of epistemic logic for reasoning about information fusion. The fusion operators considered in this paper include majority merging, arbitration, and general merging. Some modalities corresponding to these fusion operators are added to epistemic logics and the Kripke semantics of these extended logics are presented. While most existing approaches treat in...

With the advent and proliferation of image processing, image fusion has been an important research topic in many related areas such as computer vision, automatic object detection, remote sensing, robotics, medical imaging, image classification, military and law enforcement, etc. The aim of image fusion is to integrate corresponding information from different sources into one new image. The idea...

Multi focus Image fusion is process of combining information of two or more images of a scene and as significance has "all-in-focus" image. When one section covers objects in different distance, the camera can b1(Student, Department of Electronics and Communication Engg., Punjabi University, Patiala 2(Assistant Professor, Department of Electronics and Communication Engg., Punjabi University, Pa...

In the past few years several systems for object reconstruction based on the analysis of 2D images have been proposed. In order for such systems to be of practical use, the 3D data extraction process is expected to be fast and reliable. In this paper we propose a general approach for the reconstruction of complete objects based on a mesh fusion algorithm. Every surface patch is obtained as a de...

This paper describes the fusion of the airborne optical image and IR (infrared) image generated from a moving platform, and the target detection from the fused images. The proposed algorithm first detects the object from optical image and IR image, respectively. Then it performs the object mapping to determine parameters for image fusion. And then it fuses the optical image and IR image and det...