A Novel Unsupervised Abnormal Event Identification Mechanism for Analysis of Crowded Scene
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 10
Abstract
The advancement of visual sensing has introduced better capturing of the discrete information from a complex, crowded scene for assisting in the analysis. However, after reviewing existing system, we find that majority of the work carried out till date is associated with significant problems in modeling event detection as well as reviewing abnormality of the given scene. Therefore, the proposed system introduces a model that is capable of identifying the degree of abnormality for an event captured on the crowded scene using unsupervised training methodology. The proposed system contributes to developing a novel region-wise repository to extract the contextual information about the discrete-event for a given scene. The study outcome shows highly improved the balance between the computational time and overall accuracy as compared to the majority of the standard research work emphasizing on event detection.
Authors and Affiliations
Pushpa D
Keywords
Related Articles
- EP ID EP262390
- DOI 10.14569/IJACSA.2017.081055
- Views 71
- Downloads 0
Coordinated Resource Management Models in Hierarchical Systems
In response to the trend of efficient global economy, constructing a global logistic model has garnered much attention from the industry .Location selection is an important issue for those international companies that ar...
The Examination of Using Business Intelligence Systems by Enterprises in Hungary
Data are one of the key elements in corporate decision-making, without them, the decision-making process cannot be imagined. As a consequence, different analytical tools are needed that allow the efficient use of data, i...
An Auction-Bidding Protocol for Distributed Bit Allocation in RSSI-based Localization Networks
Several factors (e.g., target energy, sensor density) affect estimation error at a point of interest in sensor networks. One of these factors is the number of allocated bits to sensors that cover the point of interest wh...
Design and Implementation on a Sub-band based Acoustic Echo Cancellation Approach
This paper describes the design and implementation of a sub-band based acoustic echo cancellation approach, which incorporates the normalized least mean square algorithm and the double talk detection algorithm. Acc...
Media Content Access: Image-based Filtering
As the content on the internet contains sensitive adult material, filtering and blocking this content is essential for the social and ethical values of the many societies and organizations. In this paper, the content fil...