# WisenetMD: Motion Detection Using Dynamic Background Region Analysis

Source: [WisenetMD: Motion Detection Using Dynamic Background Region Analysis](<https://www.sota2.com/research/paper/68fa64611e209131cea042d2>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:02:11.964Z

Authors: Sang-Ha Lee, Soon-Chul Kwon, Jin-Wook Shim, Jeong-Eun Lim, Jisang Yoo

Published: 2018-05-23T16:48:27.000Z

## Abstract

Motion detection algorithms that can be applied to surveillance cameras such as CCTV (Closed Circuit Television) have been studied extensively. Motion detection algorithm is mostly based on background subtraction. One main issue in this technique is that false positives of dynamic backgrounds such as wind shaking trees and flowing rivers might occur. In this paper, we proposed a method to search for dynamic background region by analyzing the video and removing false positives by re-checking false positives. The proposed method was evaluated based on CDnet 2012/2014 dataset obtained at "changedetection.net" site. We also compared its processing speed with other algorithms.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Background Subtraction on CDnet 2014 (full)](<https://www.sota2.com/research/sota/background-subtraction-on-cdnet-2014-full.md>): Background Subtraction; CDnet 2014 (full); F1 (baseline): 94.87.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1805.09277>)

[PDF](<https://arxiv.org/pdf/1805.09277.pdf>)