Texture-based self-adaptive moving object detection technique for complex scenes

Goyal, Kalpana; Singhai, Jyoti

doi:10.1016/j.compeleceng.2016.05.017

Cited by 18 publications

(7 citation statements)

References 13 publications

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“…Synchronized cardioversion is a procedure similar to electrical defibrillation in which a transthoracic electrical current is administered to the anterior chest to terminate a life-threatening or hemodynamically unstable tachyarrhythmia. 45 The procedure should be reserved for unstable tachyarrhythmias or in patients with chest pain, dyspnea, altered mental status, hypotension, pulmonary edema, or ischemic changes on EKG. 45 The synchronized cardioversion technique involves delivering the shock at the time of the R wave to avoid the R-on-T phenomenon.…”

Section: Synchronized Cardioversionmentioning

confidence: 99%

Keeping It “Current”: A Review of Treatment Options for the Management of Supraventricular Tachycardia

Tednes,

Marquardt,

Kuhrau

et al. 2023

Ann Pharmacother

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Objective: To review treatment options and updates that exist for the management of paroxysmal supraventricular tachycardia (PSVT). Data Sources: A literature search of PubMed was performed including articles from 1974 to June 2023 using the terms: arrhythmias, adenosine, verapamil, diltiazem, esmolol, propranolol, metoprolol, beta-blockers, amiodarone, PSVT, synchronized cardioversion, methylxanthines, dipyridamole, pediatrics, heart transplant, and pregnancy. Primary literature and guidelines were reviewed. Study Selection and Data Extraction: Studies were considered if they were available in English and conducted in humans. Data Synthesis: PSVT is a subset of supraventricular tachycardia (SVT) that presents as a rapid, regular tachycardia with an abrupt onset and termination. Due to frequent emergency department (ED) visits annually with symptoms of PSVT, appropriate and efficient management of these patients is vital. This review provides an overview of the pathophysiology of PSVT, while also describing the literature behind nonpharmacologic and pharmacologic management of PSVT. Relevance to Patient Care and Clinical Practice: This review describes new literature regarding the improved success of the modified Valsalva maneuver as a nonpharmacologic therapy in PSVT. In addition, it describes a new technique in administration of adenosine that has improved outcomes, defines dose adjustments needed for drug interactions with adenosine, compares the utilization of nondihydropyridine calcium channel blockers with adenosine, and provides management recommendations for patients in special populations. Conclusions: With high annual rates of ED visits for SVT, providers should be aware of the data behind management and modifications of therapy based on patient-specific factors (ie, patient preference, pharmacokinetics/pharmacodynamics, drug interactions, and special populations).

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Section: Synchronized Cardioversionmentioning

confidence: 99%

Keeping It “Current”: A Review of Treatment Options for the Management of Supraventricular Tachycardia

Tednes,

Marquardt,

Kuhrau

et al. 2023

Ann Pharmacother

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“…This method is used for real time classification of moving objects. In literature, authors have also considered region based algorithms [15,17,29,40,46] where a frame is divided into blocks and the block based features are used to detect the foreground. In a region based algorithm, the histogram of that region is computed and edges are preserved while removing the noise.…”

Section: Related Workmentioning

confidence: 99%

Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection

Panda

Nanda

2021

Soft Comput

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Underwater video object detection is challenging because of the complex background and the movement of the camera. In order to address this, we propose a novel scheme of simultaneously estimating the camera model parameters and detecting the object. The object detection phase includes background modeling and its learning. Background is modeled by the proposed Spatial Kernel Density Estimation (SKDE) model and the model learning happens in the SKDE feature space. Background modeling and its learning is pixel based approach. The model histograms learn the new pixel through its histogram representation. Our learning and classification strategy is different from the Heikkila et al. [17] in the context of similarity measure. We have proposed the correntropy based similarity measure that is used for model learning and pixel classification. The camera model parameters are estimated by 2D optimization method where we have used the corner features of an object at subpixel accuracy level. These subpixel level features are used in the proposed pipelining framework for model parameters esti-

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“…To resolve frequent illumination changes in outdoor scenes, the LBP are computed based on the frame difference result to efficiently smooth unexpected noise and they preserve the boundaries of the moving objects using an edgeaware filtering technique in [23]. Goyal K and Singha J [24] improved an LBP-based background to manage illumination variations using an adaptive learning rate. Dongdong Zeng et al [25] take advantage of local texture features, which are represented by an extended scale invariant LBP and color intensities, to achieve good tolerance against illumination variations.…”

Section: Compared With Histogram Of Oriented Gradients (Hog) Andmentioning

confidence: 99%

Background Subtraction Using an Adaptive Local Median Texture Feature in Illumination Changes Urban Traffic Scenes

et al. 2020

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Background subtraction is commonly employed in foreground object detection in urban traffic scenes. Most of the current color or texture feature-based background subtraction models are easily contaminated by sudden and gradual illumination variations in urban traffic scenes. To resolve this deficiency, an adaptive local median texture feature, which extracts the adaptive distance threshold employing the median information in a predefined local region of a pixel and Weber's law, is introduced. In addition, a sample consensus-based model that evolved from portable visual background extractor is proposed using an adaptive local median texture feature. Then, the foreground is labeled by comparing the input video frames feature with the model. Moreover, to adapt the dynamic background, the random update scheme is used to update the model. Extensive experimental results on the public Change Detection data set of 2014 (CDnet2014) and the real-world urban traffic videos demonstrate that our background subtraction method is superior to the other state-of-the-art texture-feature-based methods. The qualitative and quantitative results show the encouraging efficiency of the proposed technique to deal with sudden and gradual illumination variations in real-world urban traffic scenes. INDEX TERMS background modeling, illumination variations, local median texture feature, urban traffic scenes

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Texture-based self-adaptive moving object detection technique for complex scenes

Cited by 18 publications

References 13 publications

Keeping It “Current”: A Review of Treatment Options for the Management of Supraventricular Tachycardia

Keeping It “Current”: A Review of Treatment Options for the Management of Supraventricular Tachycardia

Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection

Background Subtraction Using an Adaptive Local Median Texture Feature in Illumination Changes Urban Traffic Scenes

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