Automated and Intelligent Procedure for Obstacle Identification on Railway Track
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 12
Abstract
My innovative idea behind this procedure approach presents the systematic construction of an Intelligent Video supervision Panel, based on range image calibration and channel reservation for message passing that deployed in train tracking environments; where automated and intelligent obstacle object identification or unwanted events identification is very necessary for prevention of railway accidents. Intelligent video inspection panel has emerged as a very important topic of research in the field of computer vision in the recent years. Automatic detection and recognition of obstacle objects has a prime importance for railway security systems and video surveillance applications in traffic controlling areas. This systematic approach is based on moving object classification and unwanted obstacles tracking algorithm for activity identification efficiently and also provide a healthy arithmetical and messaging activity framework based on support vector machine used for modeling tricks and GRMAC application for driver safety in vehicles that will help to produce warning message.
Authors and Affiliations
Dr. Raginee Tripathi
Keywords
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- EP ID EP393016
- DOI 10.9790/9622-0712043033.
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