A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams
Complex Event Detection (CED) in video streams involves numerous challenges such as object detection, tracking, spatio–temporal relationship identification, and event matching, which are often complicated by environmental variations, occlusions, and tracking losses. This systematic review presents a...
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/22/7238 |
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| author | Sepehr Honarparvar Zahra Bagheri Ashena Sara Saeedi Steve Liang |
| author_facet | Sepehr Honarparvar Zahra Bagheri Ashena Sara Saeedi Steve Liang |
| author_sort | Sepehr Honarparvar |
| collection | DOAJ |
| description | Complex Event Detection (CED) in video streams involves numerous challenges such as object detection, tracking, spatio–temporal relationship identification, and event matching, which are often complicated by environmental variations, occlusions, and tracking losses. This systematic review presents an analysis of CED methods for video streams described in publications from 2012 to 2024, focusing on their effectiveness in addressing key challenges and identifying trends, research gaps, and future directions. A total of 92 studies were categorized into four main groups: training-based methods, object detection and spatio–temporal matching, multi-source solutions, and others. Each method’s strengths, limitations, and applicability are discussed, providing an in-depth evaluation of their capabilities to support real-time video analysis and live camera feed applications. This review highlights the increasing demand for advanced CED techniques in sectors like security, safety, and surveillance and outlines the key opportunities for future research in this evolving field. |
| format | Article |
| id | doaj-art-87c25cc27a00428cb964f62d618379b5 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-87c25cc27a00428cb964f62d618379b52024-11-26T18:21:13ZengMDPI AGSensors1424-82202024-11-012422723810.3390/s24227238A Systematic Review of Event-Matching Methods for Complex Event Detection in Video StreamsSepehr Honarparvar0Zahra Bagheri Ashena1Sara Saeedi2Steve Liang3Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Electrical and Software Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaComplex Event Detection (CED) in video streams involves numerous challenges such as object detection, tracking, spatio–temporal relationship identification, and event matching, which are often complicated by environmental variations, occlusions, and tracking losses. This systematic review presents an analysis of CED methods for video streams described in publications from 2012 to 2024, focusing on their effectiveness in addressing key challenges and identifying trends, research gaps, and future directions. A total of 92 studies were categorized into four main groups: training-based methods, object detection and spatio–temporal matching, multi-source solutions, and others. Each method’s strengths, limitations, and applicability are discussed, providing an in-depth evaluation of their capabilities to support real-time video analysis and live camera feed applications. This review highlights the increasing demand for advanced CED techniques in sectors like security, safety, and surveillance and outlines the key opportunities for future research in this evolving field.https://www.mdpi.com/1424-8220/24/22/7238complex event detectionevent processingvideo processingobject detection in videos |
| spellingShingle | Sepehr Honarparvar Zahra Bagheri Ashena Sara Saeedi Steve Liang A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams Sensors complex event detection event processing video processing object detection in videos |
| title | A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams |
| title_full | A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams |
| title_fullStr | A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams |
| title_full_unstemmed | A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams |
| title_short | A Systematic Review of Event-Matching Methods for Complex Event Detection in Video Streams |
| title_sort | systematic review of event matching methods for complex event detection in video streams |
| topic | complex event detection event processing video processing object detection in videos |
| url | https://www.mdpi.com/1424-8220/24/22/7238 |
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