Open AccessAn Efficient Method for Suspicious Activity Detection
Author(s) -
Mr. S. S. Gurav*,
B. B. Godbole
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9663.0981119
Subject(s) - computer science , frame (networking) , computer vision , window (computing) , artificial intelligence , path (computing) , matching (statistics) , tracking (education) , pattern recognition (psychology) , real time computing , mathematics , telecommunications , computer network , statistics , psychology , pedagogy , operating system
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