An Alternative Vehicle Counting Tool Using the Kalman Filter within MATLAB

Espejel-García, Daphne; Ortíz-Anchondo, Luis Ricardo; Alvarez-Herrera, C.; Hernandez-López, Alfonso; Espejel-Garcia, V. V.; Villalobos-Aragon, A.

doi:10.28991/cej-030935

Cited by 17 publications

(7 citation statements)

References 22 publications

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“…The average execution time required to blink region by different methods is given in presented below in Table 2 [13]. The results might be due to its larger redundancy at each decomposition level.…”

Section: Resultsmentioning

confidence: 99%

Automatic Detection and Correction of Blink Artifacts in Single Channel EEG Signals

Rao¹,

Sankar²,

Pani³

et al. 2020

IJACSA

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Ocular Artifacts (OAs) are inevitable during EEG acquisition and make the signal analysis critical. Detection and correction of these artifacts is a major problem now a day's. In this paper an energy detection method is used to detect the artifacts and performed wavelet thresholding within the researched zones to protect neural data at non blink regions. Various sets of Wavelet Transform (WT) techniques and threshold functions are collated and identification of the optimum combination for OA's separation is indicated in many research areas including Technology & Management. The output of these methods at blink regions is compared interns of various standard metrics using established techniques of Supply Chains. Results of this study demonstrate that the SWT+HT has better in rejecting the artifacts than other methods in this paradigm.

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Section: Resultsmentioning

confidence: 99%

Automatic Detection and Correction of Blink Artifacts in Single Channel EEG Signals

Rao¹,

Sankar²,

Pani³

et al. 2020

IJACSA

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“…Authors applied similar image processing approach in identifying and categorizing marble slabs impurities and streaks with 97.8% accuracy (Kardan Moghaddam et al, 2018). While other researchers applied Kalman filter to count vehicles captured by the camera (Espejel-García et al, 2017), applying Kalman filter to the captured data from the HSI is very slow, since the captured data are in a hypercube format not normal 2D.…”

Section: Namementioning

confidence: 99%

Meibomian gland cyst detection and classification using hyperspectral imaging

et al. 2021

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The primary role of the oily secretion (meibum) is to ensure tear film stability and retard evaporation. In addition to these is providing ocular surface lubrication, which is necessary for smooth eyelid movements. When a gland is blocked, it is described as a Meibomian gland cyst (MGC), which can be a meibomian cyst, usually referred to as chalazion (eye bump), or in the case of inflammation, it is considered to be a hordeolum (sty or stye). Topical ophthalmic ointments and eyelid heat massages can treat early diagnosed MGC; otherwise, surgical operation is required. The current techniques of diagnosing MGC are usually uncomfortable or invasive, such as examining the tarsal plate after everting the eyelid or by biopsy procedures. The purpose of this work is to propose a non-invasive MGC evaluation and classification technique using hyperspectral imaging and image processing. The proposed technique was carried out on a single patient (i.e., case study) for a period of 4 months to monitor the MGC evolution until postsurgery-recovery and was compared with a normal eyelid patient. The collected hypercube data were processed using Multivariate Curve Resolution (MCR) and image analysis to classify the MGC severity levels. The proposed work built the threshold of the complete system, where early diagnosis of an MGC is possible before it becomes visible to the eye, Wessam Shehieb ABOUT THE AUTHOR Wessam Shehieb is an M.Sc. student in Electrical and Electronic Engineering at the Universiti Sains Malaysia and a full-time Teaching Assistant in the Electrical and Computer Engineering Department at Ajman university, UAE. His research interests are medical imaging, intelligent systems, and computational intelligence. Maher Assaad received his Ph.D. degree in EE from the University of Glasgow (U.K.). His current research interests include light sensors and circuits for surface levelness measurement and food quality assessment, wireline data communication circuits for SoC interconnects and optical communication systems. Ayman Tawfik is the head of the Electrical and Computer Engineering Department, Ajman University, UAE. His research interests are digital image processing, VLSI signal processing, digital communication, internet-ofthings and education technology. Nor Ashidi Mat Isa is a Professor and Deputy Dean at the School of Electrical and Electronic Engineering, Universiti Sains Malaysia. His research interests are image processing, intelligent systems, medical imaging and computational intelligence.

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“…A Kalman Filter is used for object tracking (Espejel-Garcia et al, 2017). The system obstacle detection is based on a novel type of windowing technique.…”

Section: Background Review and Existing Solutionsmentioning

confidence: 99%

Portable offline indoor object recognition system for the visually impaired

2020

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This article presents an indoor assistive system that addresses the challenges faced by visually impaired individuals. The proposed system helps the visually impaired individuals to move indoor and make them independent of any external assistance. The proposed system consists of a camera with a processing unit and an accompanying Time-of-Flight sensor providing an efficient, convenient and cost-effective solution. The proposed system achieves average object detection accuracy of 73.34% and a 5% error margin in detecting the distance and length of detected objects. The performance comparison with two existing systems shows that the proposed system provides a very close performance to the benchmarks with advantages of portability easy-to-use and no requirement for cloud services.

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An Alternative Vehicle Counting Tool Using the Kalman Filter within MATLAB

Cited by 17 publications

References 22 publications

Automatic Detection and Correction of Blink Artifacts in Single Channel EEG Signals

Automatic Detection and Correction of Blink Artifacts in Single Channel EEG Signals

Meibomian gland cyst detection and classification using hyperspectral imaging

Portable offline indoor object recognition system for the visually impaired

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