Browse State-of-the-Art › Motion Detection
Motion Detection
24 papers with code · 1 benchmark · 2 datasets archive 2025-07-28
Motion Detection is a process to detect the presence of any moving entity in an area of interest. Motion Detection is of great importance due to its application in various areas such as surveillance and security, smart homes, and health monitoring.
Source: Different Approaches for Human Activity Recognition– A Survey
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| nuScenes (2 rows) | FastFlowNet (Kitti) | Optical Flow Based Motion Detection for Autonomous Driving | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
24 shown of 24 papers with code (101 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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17 Feb 2025 1 repository listedIn response to these challenges, this study introduces the InTec (Integrated Things Edge Computing) framework, a groundbreaking innovation in IoT architecture.
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13 Feb 2025 1 repository listedOn MR-ART, PI-MoCoNet achieved PSNR gains of ~10 dB and SSIM improvements of up to 0.
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22 Jan 2025 1 repository listedRecognizing motions of tiny targets - only few dozen pixels - in cluttered backgrounds remains a fundamental challenge when standard feature-based or deep learning methods fail under scarce visual cues.
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29 Dec 2024 1 repository listedWith the rise of multimodal large language models, accurately extracting and understanding textual information from video content, referred to as video based optical character recognition (Video OCR), has become a…
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24 Oct 2024 1 repository listedThe accelerated scans in such applications result in imaging artifacts that compromise the motion estimation.
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8 May 2024 1 repository listedDynamic Mode Decomposition (DMD) is a numerical method that seeks to fit timeseries data to a linear dynamical system.
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19 Feb 2024 1 repository listedIn this work, we propose a dual-camera system consisting of an event camera and a conventional RGB camera for video motion magnification, providing temporally-dense information from the event stream and spatially-dense…
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26 Oct 2023 1 repository listedIn this paper, we thoroughly examine the currently available detect-and-remove defenses ILP and LGS for a wide selection of state-of-the-art optical flow methods, and illuminate their side effects on the quality and…
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29 Sep 2023 1 repository listedIn this paper, we approach video deraining by employing an event camera.
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26 Jul 2023 1 repository listedIn this study, we present a model designed to efficiently detect temporal spiking motifs using a layer of spiking neurons equipped with heterogeneous synaptic delays.
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17 Jun 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)We operationalize this concept with an algorithm that optimizes a shape's part motion parameters such that it can transform into other shapes in the collection.
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3 Mar 2022 1 repository listedMotion detection is a fundamental but challenging task for autonomous driving.
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17 Nov 2021 1 repository listedThis system exploits the correlation between CSI frames, on which we perform variance analysis using our algorithm to accurately measure the full period of a resident's movement.
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21 Mar 2021 1 repository listedThe problem of recognizing moving objects from aerial images is one of the important issues in computer vision.
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18 Mar 2021 1 repository listedThe experimental results show that the proposed method outperforms the existing motion-based and edge-based road VP detection methods for various illumination conditioned driving scenes.
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15 Jun 2020 1 repository listedThe advent of self-driving cars provides an opportunity to apply visual anomaly detection in a more dynamic application yet no dataset exists in this type of environment.
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6 May 2020 1 repository listedIntroduction: Skateboarding is one of the most popular cultures in Brazil, with more than 8.
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16 Apr 2020 1 repository listedAs an alternative, we developed a system that detects players from a unique cheap and wide-angle fisheye camera assisted by a single narrow-angle thermal camera.
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14 Mar 2020 1 repository listed Syntology ran 0 of 11 samples · 11 unverifiedSpiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to the spike vanishing phenomenon.
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9 Oct 2018 1 repository listedMoreover, our method achieves better performance than the best unsupervised offline algorithm on the DAVIS-2016 benchmark dataset.
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16 Apr 2018 1 repository listedThe objective of this study is to compare several change detection methods for a mono static camera and identify the best method for different complex environments and backgrounds in indoor and outdoor scenes.
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25 Oct 2017 1 repository listedWe aimed to develop a fully automatic segmentation method that independently segments sections of the fetal brain in 2D fetal MRI slices in real-time.
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2 Jun 2017 1 repository listedThe move replaces a set of labels with the corresponding density mode in the model parameter domain, thus achieving fast and robust optimization.
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16 Feb 2017 1 repository listedSuccessful systems have used Gaussian Models to discern background from foreground in an image (motion from static imagery).
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections