What is it about?

Object detection has become complex and less effective due to various complex constraints. To obtain an effective performance in the detection of moving objects, this research work focuses to develop an automatic motion object detection system based on the statistical properties of video and supervised learning.

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Why is it important?

In this paper, a novel Background Modeling mechanism is proposed with the help of a Biased Illumination Field Fuzzy C-means algorithm to detect the moving objects more accurately.


the Biased Illumination Field Fuzzy C-means approach has accomplished to improve the segmentation accuracy through clustering under noise and varying illumination conditions. The performance of the proposed algorithm compared with conventional methods in terms of accuracy, precision, recall, and F- measure.

Sri Venkateswara College of Engineering

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This page is a summary of: An effective motion object detection using adaptive background modeling mechanism in video surveillance system, Journal of Intelligent & Fuzzy Systems, August 2021, IOS Press,
DOI: 10.3233/jifs-210563.
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