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Title: :  HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE
PaperId: :  14261
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14261
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bora Tejashri SubhashSharadchandra Pawar College of Engineering, Otur
Monika RokadeSharadchandra Pawar College of Engineering, Otur

Abstract

Computer Engineering
Video Surveillance, Anomaly detection, Machine learning, Convolutional neural networks, Image processing.
This paper brings forward one amongst the foremost significant applications of human suspicious activity recognition that is termed as anomaly detection. A key concern of any society today is providing safety to an individual. The main reason behind this concern is due to the constantly increasing activities causing threats, starting from deliberate ferocity to an injury caused through an accident. Simple installation of a traditional closed circuit television(CCTV) is not sufficient as it requires a person to continuously stay alert and monitor the cameras, which is quite inefficient. This call for the requirement to develop an security system which is fully automated system that recognizes anomalous activities in real time and brings instant help to the victims. Hence we proposed a system which will examine and detect the suspicious human action from real-time CCTV footage with help of machine learning techniques and generates the alert if the abnormal activity is occurred. The method is implemented on the dataset containing both normal and anomaly activity and experiment has shown better results.

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IJARIIE Bora Tejashri Subhash, and Monika Rokade. "HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 688-694
MLA Bora Tejashri Subhash, and Monika Rokade. "HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 688-694.
APA Bora Tejashri Subhash, & Monika Rokade. (2021). HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 688-694.
Chicago Bora Tejashri Subhash, and Monika Rokade. "HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 688-694.
Oxford Bora Tejashri Subhash, and Monika Rokade. 'HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 688-694. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/HUMAN_SUSPICIOUS_ACTIVITY_DETECTION_SYSTEM_USING_CNN_MODEL_FOR_VIDEO_SURVEILLANCE_ijariie14261.pdf (Accessed : 13 February 2024).
Harvard Bora Tejashri Subhash, and Monika Rokade. (2021) 'HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 688-694IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/HUMAN_SUSPICIOUS_ACTIVITY_DETECTION_SYSTEM_USING_CNN_MODEL_FOR_VIDEO_SURVEILLANCE_ijariie14261.pdf (Accessed : 13 February 2024)
IEEE Bora Tejashri Subhash, and Monika Rokade, "HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 688-694, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/HUMAN_SUSPICIOUS_ACTIVITY_DETECTION_SYSTEM_USING_CNN_MODEL_FOR_VIDEO_SURVEILLANCE_ijariie14261.pdf [Accessed : 13 February 2024].
Turabian Bora Tejashri Subhash, and Monika Rokade. "HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 (13 February 2024).
Vancouver Bora Tejashri Subhash, and Monika Rokade. HUMAN SUSPICIOUS ACTIVITY DETECTION SYSTEM USING CNN MODEL FOR VIDEO SURVEILLANCE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 13 February 2024]; 7(3) : 688-694. Available from: https://ijariie.com/AdminUploadPdf/HUMAN_SUSPICIOUS_ACTIVITY_DETECTION_SYSTEM_USING_CNN_MODEL_FOR_VIDEO_SURVEILLANCE_ijariie14261.pdf
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