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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Suspicious Activity Detection from Surveillance Video using Deep Learning Approach |
| Authors Name: | Rohit Shinde , Sonali Suryavanshi , Akash Phad , Sarthak Kathe , Prof. S. S. Gunjal |
| Unique Id: | IJSDR2303102 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Video surveillance plays an important role in today's world. Artificial intelligence, machine learning, and deep learning entered his system, making the technology too advanced. Using a combination of the above, different systems are positioned to help distinguish different suspicious behavior from live tracking footage. Human behavior is the most unpredictable and it is very difficult to tell if it is suspicious ornormal. Deep learning approaches are used to detect suspiciousor normal activity in academic environments, sending alert messages to appropriate authorities when suspicious activity ispredicted. Monitoring is often performed through consecutive frames extracted from the video. The entire framework is divided into two parts. In the first part features are computed from the video image and in the second part the classifier predicts the class as suspect or normal based on the features obtained. |
| Keywords: | Suspicious Activity, Video Surveillance, Deep Learning. |
| Cite Article: | "Suspicious Activity Detection from Surveillance Video using Deep Learning Approach", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.625 - 629, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303102.pdf |
| Downloads: | 000337069 |
| Publication Details: | Published Paper ID: IJSDR2303102 Registration ID:204306 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 625 - 629 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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