A State of Art Methodology for Real-Time Surveillance Video Denoising

Joy, Fancy; Vijayakumar, V.

doi:10.1007/978-3-030-37218-7_95

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Video Pre-processing1

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2022

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“…Analyses the received video frames and eliminates the noises present in the video using either TDBLMS algorithm or bilateral filter depending on user choice. TDBLMS is the two-dimensional block-based least mean square algorithm [1] that can be applied frame by frame of video. Each video frame divides into blocks and performs block by block from left to right and top to bottom using an LMS filter.…”

Section: Video Pre-processingmentioning

confidence: 99%

A Novel User-Friendly Application for Foreground Detection with Post-Processing in Surveillance Video Analytics

Joy

Vijayakumar

2022

IJEER

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Detection of the object in the video is a primary task of all video-processing-based applications. It is one of the challenging areas in computer vision. The paper presents a novel MATLAB-based object detection application based on an improved Gaussian Mixture Model. Gaussian Mixture Model with post-processing applied here for segmentation of foreground from background. The application is divided into three modules pre-processing, detection and post-processing. The morphological gradient filter uses here for segmenting the foreground objects from the background. The proposed method was tested for various video sequences with challenges and proved that the approach performs well for the majority video sequences.

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Section: Video Pre-processingmentioning

confidence: 99%