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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | DEEP LEARNING BASED MOVIE FIGHTER DETECTION |
| Authors Name: | ASRA SARWATH , FARHEENA BEGUM , HUSNA FATIMA , MISBAH NOORIN , SYEDA MASEERA TABASSUM |
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IJRTI_187312
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| Published Paper Id: | IJRTI2306107 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Violent action recognition has significant importance in developing automated video surveillance systems. Over last few years, violence detection such as fight activity recognition is mostly achieved through hand-crafted features detectors. Some researchers also inquired learning-based representation models. These approaches achieved high accuracies on Hockey and Movies benchmark datasets specifically designed for detection of violent sequences. However, these techniques have limitations in learning discriminating features for videos with abrupt camera motion of Hockey dataset. Deep representation-based approaches have been successfully used in image recognition and human action detection tasks. This paper proposed deep representation-based model using concept of transfer learning for violent scenes detection to identify aggressive human behaviors. The result reports that proposed approach is outperforming state-of-the- art accuracies by learning most discriminating features achieving 99.28% and 99.97% accuracies on Hockey and Movies datasets respectively, by learning finest features for the task of violent action recognition in videos. |
| Keywords: | Violence detection, Deep learning, Interactive behaviors, Classification, Dataset, Computer Vision. |
| Cite Article: | "DEEP LEARNING BASED MOVIE FIGHTER DETECTION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.704 - 708, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306107.pdf |
| Downloads: | 000205181 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2306107
Registration ID:187312
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 704 - 708 Country: KALABURAGI, KARNATAKA, INDIA Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306107 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306107 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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