A novel approach for IR target localization based on IR and visible image fusion

Singh, Harbinder; Fatima, Haya; Sharma, Samreeti; Arora, Dinesh

doi:10.1109/ispcc.2017.8269681

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Therefore, a visible image is to be considered as an ideal reference for objective analysis. However, Fusion Root-mean Square (FRMSE) and correlation coefficient (CC) metrics [14,15] are used to evaluate the fusion performance. The superior values of the proposed approach for all five input data sets in Table I prove that the proposed fusion results have a strong correlation to input visible image.…”

Section: A Performance Analysis Of Fusion Resultsmentioning

confidence: 99%

Infrared and Visible Image Fusion Based on Nonparametric Segmentation

Singh¹,

Hrisheekesha²,

Cristóbal³

2019

IJITEE

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Image fusion is a process of combining an image sequence of the same scene into a single image for better human perception & targeting. The thermal energy reflected from outstanding objects under poor lighting conditions and visible information that yield spatial details needs to be fused for improving the performance of surveillance systems. In this paper, we present a fusion technique that is helpful in surveillance systems for detecting targets when the background and the targets are of the same color. A nonparametric segmentation based weight map computation technique is proposed to extract target details from infrared (IR) imagery. The optimal threshold based on local features is selected automatically for target detection. With this, the extracted salient information of targets is blended to visible image without introducing distortions. The main advantage of the new technique is that it is based on a single-scale binary map (SSBM) fusion approach. The binary weight maps are computed for the fusion of separable IR target with visible imagery. An extension to IR and visible color image fusion is also suggested for target localization. Several simulation results are demonstrated for different data sets to support the validity of the proposed technique

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Section: A Performance Analysis Of Fusion Resultsmentioning

confidence: 99%

Infrared and Visible Image Fusion Based on Nonparametric Segmentation

Singh¹,

Hrisheekesha²,

Cristóbal³

2019

IJITEE

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“…These types of sensors measures only infrared radiation, rather than emitting it that is called as a passive IR sensor. Usually in the infrared spectrum, all the objects radiate some form of thermal radiations [24]. The emitter is simply an IR LED (light emitting diode) and the detector is simply an IR photodiode which is sensitive to IR light of the same wavelength as that emitted by the IR LED.…”

Section: Introductionmentioning

confidence: 99%

Control system of automatic garage using programmable logic controller

et al. 2020

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In today's populated world, urban land availability has become scarce and manual involvement of humans for a proper task makes a work less efficient and less accurate. The garage is one of the workstations which needs to be modernized for enhanced land utilization, energy saving approach and systematic functioning. This goal can only be achieved through the automation of parking systems. We have proposed an automated control system for garage using siemens PLC (programmable logic control)-1200 to control the vehicles. The number plate of the car is recorded through the RFID reader and the parking slot for that particular vehicle is allotted automatically based on the available vacancy. Along with this the parking area is fitted with fire alarm, which will raise if any smoke or fire happens in the location. The total parking cost of each vehicle can be calculated based on the number of hours it has been parked. And the information will be displayed in the SCADA screen. Additionally, instead of the full lightening of the complete place, lightening will be provided only in the direction of movement of the car, preventing wastage of energy.

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