Review and Classification of Trending Background Subtraction-Based Object Detection Techniques

Azeez, Bayar; Alizadeh, Fattah

doi:10.1109/iec49899.2020.9122929

Cited by 8 publications

(2 citation statements)

References 19 publications

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“…When considering its background modeling characteristic, the segmentation techniques into two large groups: non-recursive and recursive techniques [12]. Non-recursive techniques approximate the fund from a sampling of images stored in a buffer.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Approach for Moving Object Detection Using TV-L1 Features and RPCA–MOG

2023

IJIES

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Robust Principal Component Analysis (RPCA) has recently been active everywhere for dimension reduction in image processing, display and pattern recognition. Methods based on low-rank sparse representations, which make some specific significant assumptions, have recently received a lot of attention in background modelling. Meanwhile, a powerful analysis framework is needed to handle background areas or foreground motion at various scales. this paper presents a hybrid approach along with total variation L1 (TV-L1) features and reproductive RPCA model in low rank background subtraction modelling and sparse matrix with mixture of Gaussians (MoG) as foreground modelling. The hybrid structure with TV-L1 features imposes a hierarchical RPCA on the singular values of the low-rank component and MOG sparsity indicators. The proposed work was evaluated on the CDnet2014 (ChangeDetection.net) dataset, obtained result as accuracy was 92.9%, 86.7% 95.7% for Highway, Escalator, and Indoor respectively. The proposed method is compared with traditional methods and obtained relative reconstruction error is 0.01529 as a lower side.

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Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Approach for Moving Object Detection Using TV-L1 Features and RPCA–MOG

2023

IJIES

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“…There are several types of occupancy detection methods based on image‐processing techniques: motion detection [21,22] and machine‐learning‐based image‐classification [23,24]. Motion detection tracks the change in appearance in an image primarily by using frame difference, background subtraction and optical flow.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of Reduction Technique for Time Delay of Turning Off Light to Occupancy Lighting Control

Futagami

Hayasaka

Taniguchi

et al. 2020

IEEJ Transactions Elec Engng

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In this study, we clarify the effectiveness of the energy-effective techniques for the occupancy lighting control that is based on an occupancy sensor. The time delay from detecting no occupant to turning off the light is used for performing the occupancy control to avoid erroneously turning off the light (hereafter referred to as false-off). Our experiment was conducted at an actual home environment over 8 days. We evaluated the performance of an image-based sensor, which detects the occupants using image-processing techniques and time-delay adaptation, which decreases the time delay without false-off. Compared with a passive infrared sensor, the image-based sensor increased the average sensing accuracy for occupants with small movements by 21.58% or more. In addition, compared with the no-adaptation case, the time-delay adaptation increased the rate of average lighting energy saving by 3.94% or more. However, the experimental results suggested that the parameter of the time-delay adaptation should be carefully set in terms of the energy-saving effect and false-off. The analysis and its practical discussions are included in this paper to achieve further energy efficiency.

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An Efficient Approach for Multiple Moving Objects Tracking with Occlusion

Shahab

Alizadeh

2021

Proceedings of Sixth International Congress on Information and Communication Technology

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Review and Classification of Trending Background Subtraction-Based Object Detection Techniques

Cited by 8 publications

References 19 publications

A Hybrid Approach for Moving Object Detection Using TV-L1 Features and RPCA–MOG

A Hybrid Approach for Moving Object Detection Using TV-L1 Features and RPCA–MOG

Experimental Evaluation of Reduction Technique for Time Delay of Turning Off Light to Occupancy Lighting Control

An Efficient Approach for Multiple Moving Objects Tracking with Occlusion

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