Real-Time Infrared and Visible Image Fusion System and Fusion Image Evaluation

Yuan, Yunhao; Xu, Hui; Zhang, Miao; Liu, Feng; Zhang, Junju; Chang, Benkang

doi:10.1109/sopo.2012.6271044

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…This trend is motivated by the need to improve the robustness of the applications or by the new industrial usage. To illustrate, we can cite the frequent case of color and infrared image fusion from day and night vision cameras, frequently used in surveillance and security context [1]- [3]. Another example is the fusion of low-light and infrared images enabling color night vision system [4].…”

Section: Introductionmentioning

confidence: 99%

“…Another example is the fusion of low-light and infrared images enabling color night vision system [4]. Also, the ADAS 1 and UAV 2 systems benefit from such multi-modal approaches increasing the capabilities of such systems [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the number of 'active sensors' used at the moment can dynamically change with respect to the luminosity conditions or the applicative requirements. This makes the design of computing resources very arduous task, 1 Advanced driver assistance systems 2 Unmanned Aerial Vehicles The complexity of the computationally efficient hardware design for multi-sensor systems is illustrated by the numerous publications dealing with some individual key problems of this challenge. Thus in [8] the authors develop and implement an FPGA-based scalable and resource-efficient multi-camera IP core for image reconstruction, however, the performance decreases with the number of sensors.…”

Section: Introductionmentioning

confidence: 99%

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Highly Scalable Monitoring System on Chip for Multi-Stream Auto-Adaptable Vision System

Isavudeen

Ngan

Dokladalova

et al. 2017

Proceedings of the International Conference on Research in Adaptive and Convergent Systems

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International audienceThe integration of multiple and technologically heterogeneous sensors (infrared, color, etc) in vision systems tend to democratize. The objective is to benefit from the multi-modal perception allowing to improve the quality and ro-bustness of challenging applications such as the advanced driver assistance, 3-D vision, inspection systems or military observation equipment. However, the multiplication of heterogeneous processing pipelines makes the design of efficient computing resources for the multi-sensor systems very arduous task. In addition to the context of latency critical application and limited power budget, the designer has often to consider the parameters of sensors varying dynamically as well as the number of active sensors used at the moment. To optimize the computing resource management, we inspire from the self-aware architectures. We propose an original on-chip monitor, completed by an observation and command network-on-chip allowing the system resources supervision and their on-the-fly adaptation. We present the evaluation of the proposed monitoring solution through FPGA implementation. We estimate the cost of the proposed solution in the terms of surface occupation and latency. And finally, we show that the proposed solution guarantees a processing of 1080p resolution frames at more than 60 fps

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Highly Scalable Monitoring System on Chip for Multi-Stream Auto-Adaptable Vision System

Isavudeen

Ngan

Dokladalova

et al. 2017

Proceedings of the International Conference on Research in Adaptive and Convergent Systems

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“…Therefore, more and more multi-sensor video surveillance systems enter the market. These systems often use only one single sensor to obtain spectral information at a certain wavelengths, but fail to cover multi-spectral data [1] . The system fuses the information of visible light, near-infrared and far infrared band, which is obtained by the multiple sensors, then integrated into a fusion image and transmits to the user.…”

Section: Introductionmentioning

confidence: 99%

“…Then, the system can be widely used in various fields. and image fusion [1] , which contains of the image fusion processing circuit and the servo control processing circuit.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Eye-Information Fusion Monitioring System

Li¹,

Min²,

Zhang³

et al. 2013

Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications

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We have designed a new type of real-time image fusion system which named Intelligent Eye-Information Fusion monitoring system. The system achieves the functions of image fusion, target detection, image stitching. Meanwhile it can applicable to the field of security monitoring, and water search and rescue. The system mainly consists of two parts. One part is the detection system; another part is display system and control circuit. These two parts are connected by the transmission system. The first part is mainly used for multi-spectral image acquisition and image fusion, and the second part is mainly used to control the first part and display the image. We use two algorithms which are applied in the system. The one is used in grayscale fusion, and the other is used in color fusion. At last, four kinds of features are explained, including image fusion, image stitching, moving target detection, and switching function of visual field.

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