Advanced Perspective on Human Detection system with Hybrid Feature Set
Detecting and discriminating humans in video frames for surveillance applications is a demanding task. Identifying and highlighting humans by eliminating shadows from the video frames is vital for prudence motive. In this paper, a three-step procedure is proposed, which includes motion detection by...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade do Porto
2022-11-01
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| Series: | U.Porto Journal of Engineering |
| Subjects: | |
| Online Access: | https://journalengineering.fe.up.pt/index.php/upjeng/article/view/1032 |
| _version_ | 1797986649433440256 |
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| author | Manikandaprabu Nallasivam Vijayachitra S |
| author_facet | Manikandaprabu Nallasivam Vijayachitra S |
| author_sort | Manikandaprabu Nallasivam |
| collection | DOAJ |
| description | Detecting and discriminating humans in video frames for surveillance applications is a demanding task. Identifying and highlighting humans by eliminating shadows from the video frames is vital for prudence motive. In this paper, a three-step procedure is proposed, which includes motion detection by background subtraction in live video frames, morphological gradient-based shadow removal, and human detection by Hybrid Feature Set (HFS), which comprises Histogram Oriented Gradient (HOG) and Local Binary Pattern (LBP) with adaptive Neuro-Fuzzy inference system. The first step incorporates static background subtraction and dynamic background subtraction. The second step is to remove shadows by using a morphological gradient with the horizontal directional mask. The third step includes near-field, mid-field, and far-field human detection by using an adaptive Neuro-Fuzzy inference system. The results obtained from the various performed experimental analysis demonstrates diverse parametrical measures, which outperforms comparatively when benchmark databases and real-time surveillance video frames were used. |
| first_indexed | 2024-04-11T07:36:37Z |
| format | Article |
| id | doaj.art-8472d699f01445f3ac44843944e7fc30 |
| institution | Directory Open Access Journal |
| issn | 2183-6493 |
| language | English |
| last_indexed | 2024-04-11T07:36:37Z |
| publishDate | 2022-11-01 |
| publisher | Universidade do Porto |
| record_format | Article |
| series | U.Porto Journal of Engineering |
| spelling | doaj.art-8472d699f01445f3ac44843944e7fc302022-12-22T04:36:44ZengUniversidade do PortoU.Porto Journal of Engineering2183-64932022-11-018617818810.24840/2183-6493_008.006_00131203Advanced Perspective on Human Detection system with Hybrid Feature SetManikandaprabu Nallasivam0https://orcid.org/0000-0002-7117-1865Vijayachitra S1https://orcid.org/0000-0002-0339-4303Nandha Engineering College, IndiaKongu Engineering College, IndiaDetecting and discriminating humans in video frames for surveillance applications is a demanding task. Identifying and highlighting humans by eliminating shadows from the video frames is vital for prudence motive. In this paper, a three-step procedure is proposed, which includes motion detection by background subtraction in live video frames, morphological gradient-based shadow removal, and human detection by Hybrid Feature Set (HFS), which comprises Histogram Oriented Gradient (HOG) and Local Binary Pattern (LBP) with adaptive Neuro-Fuzzy inference system. The first step incorporates static background subtraction and dynamic background subtraction. The second step is to remove shadows by using a morphological gradient with the horizontal directional mask. The third step includes near-field, mid-field, and far-field human detection by using an adaptive Neuro-Fuzzy inference system. The results obtained from the various performed experimental analysis demonstrates diverse parametrical measures, which outperforms comparatively when benchmark databases and real-time surveillance video frames were used.https://journalengineering.fe.up.pt/index.php/upjeng/article/view/1032feature extractionimage motion analysissubtraction techniquesmorphological operationsmachine vision |
| spellingShingle | Manikandaprabu Nallasivam Vijayachitra S Advanced Perspective on Human Detection system with Hybrid Feature Set U.Porto Journal of Engineering feature extraction image motion analysis subtraction techniques morphological operations machine vision |
| title | Advanced Perspective on Human Detection system with Hybrid Feature Set |
| title_full | Advanced Perspective on Human Detection system with Hybrid Feature Set |
| title_fullStr | Advanced Perspective on Human Detection system with Hybrid Feature Set |
| title_full_unstemmed | Advanced Perspective on Human Detection system with Hybrid Feature Set |
| title_short | Advanced Perspective on Human Detection system with Hybrid Feature Set |
| title_sort | advanced perspective on human detection system with hybrid feature set |
| topic | feature extraction image motion analysis subtraction techniques morphological operations machine vision |
| url | https://journalengineering.fe.up.pt/index.php/upjeng/article/view/1032 |
| work_keys_str_mv | AT manikandaprabunallasivam advancedperspectiveonhumandetectionsystemwithhybridfeatureset AT vijayachitras advancedperspectiveonhumandetectionsystemwithhybridfeatureset |