Design and Implementation of Anomaly Detection in Video Surveillance using Foreground Detection
Journal Title: GRD Journal for Engineering - Year 2018, Vol 3, Issue 0
Abstract
Abnormal event detection is now a challenging task, especially for crowded scenes. Many existing methods learn a normal event model in the training phase, and events which cannot be well represented are treated as abnormalities. It fails to make use of abnormal event patterns, which are elements to comprise abnormal events. Moreover, normal patterns in testing videos may be divergent from training ones, due to the existence of abnormalities. Anomaly detection finds extensive use in a wide variety of applications such as fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, fault detection in safety critical systems, and military surveillance for enemy activities. The proposed detector treats each sample as a combination of a set of event patterns. Due to the unavailability of labeled abnormalities for training, abnormal patterns are adaptively extracted from incoming unlabeled testing samples. It detects the moving object using Gaussian Mixture Model based on foreground detection and the abnormalities in the videos are detected.
Authors and Affiliations
Maragathameenakshi M, Nivedha S, Mr. B Venkataramanaiah
Keywords
Related Articles
- EP ID EP294434
- DOI -
- Views 72
- Downloads 0
Sensor Based System to Detect Driver's Stress, Fatigue and Drowsiness using Data Analytic Approach
The level of stress for drivers will have a greater impact while driving. Driver stress may affect driver performance and create many accidents. Sometimes many innocent lives are lost because of driver stress level. Stre...
Effect of TiCp on AA2219 metal matrix composite
Composite plays a vital role in material science especially in the field of aerospace, marine, automobile, military and structural applications. It consists of two or more physically and chemically distinct phases. The c...
Region growth based segmentation to improve the porosity of Cu - (5–20%) W composite preforms
While preparing the composite preform in the powder metallurgy Lab, the various defects due to porosity, open crack and residual stresses are possible. This may lead to poor life and strength of materials. It is difficul...
Partial Reconfiguration Using FPGA – A Review
This paper proposes a review on Partial reconfiguration using Field Programmable Gate Array (FPGA). By downloading configuration bit files Partial Dynamic Reconfiguration (PDR) dynamically modifies the hardware portion o...
Condition Assessment and Rating of a Building using Condition Survey Protocol (CSP) 1 Matrix
Purpose - This study aims to provide assessment method for building’s condition. Building inspection is one of the key component of building maintenance as it is used for evaluating building’s current condition. Traditio...