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Title: :  AI Suspicious Activity Detection using Human Pose Estimation
PaperId: :  18961
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 1 2023
DUI:    16.0415/IJARIIE-18961
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
YATHESHVAMSI NAIDU K Raghu Institute of Technology, Vizianagaram, A.P, India
HARIBABU PRaghu Institute of Technology, Vizianagaram, A.P, India

Abstract

Computer Engineering
DeepLearning, Activity detection, Tensorflow, Keras, Python, Opencv
Video surveillance plays a central role in today's world. Technologies have become too advanced as artificial intelligence, machine learning, and deep learning invaded the system. Using the above combinations, various systems are in place to help distinguish various suspicious behavior from live tracking images. Human behavior is the most unpredictable and it is very difficult to determine whether it is suspicious or normal. The deep learning approach is used to detect suspicious or normal activity in an academic environment and send an alert message to the appropriate authority when suspicious activity is predicted. Tracking is often done through successive frames extracted from the video. The whole frame is divided into two parts. In the first part, the characteristics are calculated based on the video frames, and in the second part, based on the obtained characteristic classifier, the class is predicted as suspicious or normal.

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IJARIIE YATHESHVAMSI NAIDU K , and HARIBABU P. "AI Suspicious Activity Detection using Human Pose Estimation" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 1 2023 Page 495-501
MLA YATHESHVAMSI NAIDU K , and HARIBABU P. "AI Suspicious Activity Detection using Human Pose Estimation." International Journal Of Advance Research And Innovative Ideas In Education 9.1(2023) : 495-501.
APA YATHESHVAMSI NAIDU K , & HARIBABU P. (2023). AI Suspicious Activity Detection using Human Pose Estimation. International Journal Of Advance Research And Innovative Ideas In Education, 9(1), 495-501.
Chicago YATHESHVAMSI NAIDU K , and HARIBABU P. "AI Suspicious Activity Detection using Human Pose Estimation." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 1 (2023) : 495-501.
Oxford YATHESHVAMSI NAIDU K , and HARIBABU P. 'AI Suspicious Activity Detection using Human Pose Estimation', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 1, 2023, p. 495-501. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AI_Suspicious_Activity_Detection_using_Human_Pose_Estimation_ijariie18961.pdf (Accessed : ).
Harvard YATHESHVAMSI NAIDU K , and HARIBABU P. (2023) 'AI Suspicious Activity Detection using Human Pose Estimation', International Journal Of Advance Research And Innovative Ideas In Education, 9(1), pp. 495-501IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AI_Suspicious_Activity_Detection_using_Human_Pose_Estimation_ijariie18961.pdf (Accessed : )
IEEE YATHESHVAMSI NAIDU K , and HARIBABU P, "AI Suspicious Activity Detection using Human Pose Estimation," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 1, pp. 495-501, Jan-Feb 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/AI_Suspicious_Activity_Detection_using_Human_Pose_Estimation_ijariie18961.pdf [Accessed : ].
Turabian YATHESHVAMSI NAIDU K , and HARIBABU P. "AI Suspicious Activity Detection using Human Pose Estimation." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 1 ().
Vancouver YATHESHVAMSI NAIDU K , and HARIBABU P. AI Suspicious Activity Detection using Human Pose Estimation. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(1) : 495-501. Available from: https://ijariie.com/AdminUploadPdf/AI_Suspicious_Activity_Detection_using_Human_Pose_Estimation_ijariie18961.pdf
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