Moving Object Detection Using Background Subtraction in Wavelet Domain

Sahoo, Tamanna; Mohanty, Bibhuprasad

doi:10.1109/icdsba.2018.00009

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Using the benefit of the multiresolution analysis, two moving object detection methods have been proposed. The first one being object detection based on image dynamics subtraction [1], and the second one is to develop a novel region growing algorithms by extracting the wavelet features from the resultant subtracted image frames. In both algorithms, along with the dynamics creation, traditional background subtraction has been utilized in the transformed domain.…”

Section: Introductionmentioning

confidence: 99%

A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics

Sahoo¹,

Mohanty²

2022

IJACSA

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Moving object detection has versatile and potential applications in video surveillance, traffic monitoring, human motion capture etc., where detecting object(s) in a complex scene is vital. In the existing background subtraction method based on frame differencing, the false positive and misclassification rate increases as the background becomes more complex and also with the presence of multiple moving objects in the scene. In this piece of work, an approach has been made to enhance the detection performance of the background subtraction method by exploiting the dynamism available in the scene. The resultant differencing frame so obtained by the spatial background subtraction method is subjected to wavelet transformation. By extracting and combining wavelet features from the dynamics of the scene, a novel method of region growing technique has been further utilized to detect the moving object(s) in the scene. Simulation of various video sequences from CDnet, SBMnet, AGVS, I2R and Urban Tracker database has been applied and the method provides satisfactory detection of the moving object in a complex scene. The quantitative measure like Recall, Precision, F1-measure, and specificity computed for the algorithms, have indicated the algorithms can be a suitable candidate for surveillance applications.

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Section: Introductionmentioning

confidence: 99%

A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics

Sahoo¹,

Mohanty²

2022

IJACSA

Self Cite

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“…[17] reported that commercialized image‐based sensors are based on frame difference, which calculates the differences between consecutive captured images. This is because the frame difference, which is considered as a simple and fast method compared with others [25], can be easily implemented on a low‐power and low‐cost embedded board, as it was implemented on a single board computer, which has limited computational power, to provide real‐time occupancy data in Ref. [26].…”

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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A Novel Technique for Target Recognition Using Multiresolution Technique

Sahoo

Mohanty

2020

Lecture Notes in Networks and Systems

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Moving Object Detection Using Background Subtraction in Wavelet Domain

Cited by 7 publications

References 9 publications

A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics

A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics

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

A Novel Technique for Target Recognition Using Multiresolution Technique

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