Task-based scanpath assessment of multi-sensor video fusion in complex scenarios

Dixon, Timothy D.; Nikolov, SG; Lewis, J.; Li, Jian; Canga, Eduardo Fernandez; Noyes, Jan; Trościanko, Tom; Bull, David; Canagarajah, C N

doi:10.1016/j.inffus.2009.04.007

Cited by 11 publications

(5 citation statements)

References 71 publications

(133 reference statements)

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“…The aim of this review is to provide a collective view of the applicability and progress of information fusion techniques in medical imaging useful for clinical studies [3,4,5,6,7,8,9,10,11,12,13,14]. Figure 2 shows the three major focused areas of studies in medical image fusion: (a) identification, improvement and development of imaging modalities useful for medical image fusion, (b) development of different techniques for medical image fusion, and (c) application of medical image fusion for studying human organs of interest in assessments of medical conditions.…”

Section: Introductionmentioning

confidence: 99%

Medical image fusion: A survey of the state of the art

2014

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Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical images for diagnosis and assessment of medical problems. Multi-modal medical image fusion algorithms and devices have shown notable achievements in improving clinical accuracy of decisions based on medical images. This review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion. We characterize the medical image fusion research based on (1) the widely used image fusion methods, (2) imaging modalities, and (3) imaging of organs that are under study. This review concludes that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.

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Section: Introductionmentioning

confidence: 99%

Medical image fusion: A survey of the state of the art

2014

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“…A smart company has developed a range of smart exercise clothing, with different kinds of clothing having different functions. Some garments can keep the body at a constant temperature, while others can make working out safer and reasonably efficient [9]. It also connects to your phone via Bluetooth and gives a more reasonable fitness plan based on data analysis.…”

Section: Current Status Of Researchmentioning

confidence: 99%

Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion

Zhou

Wen

2022

Journal of Sensors

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In this paper, multiple sensors are used to track human physiological parameters during physical exercise, and data information fusion technology is used to extract useful information for monitoring and analyzing the effects of physical exercise. This paper explores the interaction and developmental dynamics of multisensor information fusion technology and physical exercise data monitoring based on the interrelationship and interpenetration between the two. The design ideas and principles that should be followed for the software designed in this study are discussed from the perspective of the portable design of measurement instruments and the perspective of multisensor information fusion, and then, the overall architecture and each functional module are studied to propose a scientific and reasonable design model. The general methodological model to be followed for the development of this resource is designed, and the basic development process of the model is explained and discussed, especially the requirement analysis and structural design, and how to build the development environment are explained in detail; secondly, based on the course unit development process in this model, we clarify the limitations of the system through meticulous analysis of the measurement results, which provides a solid foundation for the next step of system optimization. Finally, with a focus on future development, we elaborate on the potential possible role and development trend of multisensor information fusion in the future period. In this paper, we propose to apply the multisensor data fusion algorithm to the monitoring, analysis, and evaluation of the effect of physical exercise, by collecting multiple human physiological parameters during physical exercise through multiple sensors and performing data fusion processing on the collected physiological parameters to finally evaluate the effect of physical exercise.

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“…The underlying assumption is that images displaying different information will induce different gaze strategies. 36,47,48 In contrast to these previous studies, we studied eye movements during free inspection of static images (to minimize the influence of task) without any a priori assumption about the nature of the effect of image informativeness. In this view, the observer's fixation behavior characterizes the level of informativeness of an image.…”

Section: Current Studymentioning

confidence: 99%

Perceptual evaluation of color transformed multispectral imagery

et al. 2014

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Color remapping can give multispectral imagery a realistic appearance. We assessed the practical value of this technique in two observer experiments using monochrome intensified (II) and long-wave infrared (IR) imagery, and color daylight (REF) and fused multispectral (CF) imagery. First, we investigated the amount of detail observers perceive in a short timespan. REF and CF imagery yielded the highest precision and recall measures, while II and IR imagery yielded significantly lower values. This suggests that observers have more difficulty in extracting information from monochrome than from color imagery. Next, we measured eye fixations during free image exploration. Although the overall fixation behavior was similar across image modalities, the order in which certain details were fixated varied. Persons and vehicles were typically fixated first in REF, CF, and IR imagery, while they were fixated later in II imagery. In some cases, color remapping II imagery and fusion with IR imagery restored the fixation order of these image details. We conclude that color remapping can yield enhanced scene perception compared to conventional monochrome nighttime imagery, and may be deployed to tune multispectral image representations such that the resulting fixation behavior resembles the fixation behavior corresponding to daylight color imagery. Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 05/16/2015 Terms of Use: http://spiedl.org/terms

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Task-based scanpath assessment of multi-sensor video fusion in complex scenarios

Cited by 11 publications

References 71 publications

Medical image fusion: A survey of the state of the art

Medical image fusion: A survey of the state of the art

Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion

Perceptual evaluation of color transformed multispectral imagery

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