An Efficient Method for Suspicious Activity Detection
S. S. Gurav1, B. B. Godbole2
1Mr. S. S. Gurav, Department of E&TC, Sharad Institute of Technology, College of Engineering Yadrav, Ichalkaranji.
2Dr. B. B. Godbole, Professor,Department of Electronics Karmaveer Bhaurao Patil,College of Engineering & Polytechnic,Satara
Manuscript received on 27 August 2019. | Revised Manuscript received on 17 September 2019. | Manuscript published on 30 September 2019. | PP: 1346-1350 | Volume-8 Issue-11, September 2019. | Retrieval Number: J96630881019/2019©BEIESP | DOI: 10.35940/ijitee.J9663.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper contributes on suspicious activity detection from length of video with less complex processing algorithm. The proposed method in this paper is easy to implement and robust enough to monitor different suspicious activities such as sudden seating, standing up, hiding from midway path, entry from midway. The suspicious frame detection is a novel approach and then confirmation is done using SURF based descriptor matching for speedy processing requirements. The results obtained in terms of tracking window and detection capability are satisfactory.
Keywords: Suspicious activity, surveillance video, SURF descriptors, monitoring human activity.
Scope of the Article: Health Monitoring and Life Prediction of Structures