Unsupervised Video Surveillance for Anomaly Detection of Street Traffic
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
Intelligent transportation systems enables the analysis of large multidimensional street traffic data to detect pattern and anomaly, which otherwise is a difficult task. Advancement in computer vision makes great contribution in the progress of video based traffic surveillance system. But still there are some challenges which need to be solved like objects occlusion, behavior of objects. This paper developed a novel framework which explores multidimensional data of road traffic to analyze different patterns of traffic and anomaly detection. This framework is implemented on road traffic dataset collected from different areas of the city.
Authors and Affiliations
Muhammad Umer Farooq, Najeed Ahmed Khan, Mir Shabbar Ali
Keywords
Related Articles
- EP ID EP258406
- DOI 10.14569/IJACSA.2017.081234
- Views 111
- Downloads 0
Reconsideration of Potential Problems of Applying EMIM for Text Analysis
It seems that the term dependence methods developed using the expected mutual information measure (EMIM) have not achieved their potential in many areas of science, involving statistical text analysis or document process...
Hyperspectral Image Classification Using Unsupervised Algorithms
Hyperspectral Imaging (HSI) is a process that results in collected and processed information of the electromagnetic spectrum by a specific sensor device. It’s data provide a wealth of information. This data can be used t...
Face Recognition System Based on Different Artificial Neural Networks Models and Training Algorithms
Face recognition is one of the biometric methods that is used to identify any given face image using the main features of this face. In this research, a face recognition system was suggested based on four Artificial Neur...
Improving Image Encryption Using 3D Cat Map and Turing Machine
Security of data is of prime importance. Security is a very complex and vast topic. One of the common ways to protect this digital data from unauthorized eavesdropping is encryption. This paper introduces an improved ima...
Recommender System for Journal Articles using Opinion Mining and Semantics
Till date, the dominant part of Recommender Systems (RS) work focusing on single domain, i.e. for films, books and shopping and so on. However, human inclinations may traverse over numerous areas. Thus, utilization pract...