Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe the design and implementation of a vision based Intermodal Train Monitoring System (ITMS) for extracting various features like length of gaps in an intermodal (IM) train which can later be used for higher level inferences. An intermodal train is a freight train consisting of two basic types of loads - containers and trailers. Our system first captures the video of an IM train, and applies image processing and machine learning techniques developed in this work to identify the various types of loads as containers and trailers. The whole process relies on a sequence of following tasks -robust background subtraction in each frame of the video, estimation of train velocity, creation of mosaic of the whole train from the video and classification of train loads into containers and trailers. Finally, the length of gaps beten the loads of the IM train is estimated and is used to analyze the aerodynamic efficiency of the loading pattern of the train, which is a critical aspect of freight trains.  focusses on the machine vision aspect of the whole system
['Avinash Kumar', 'Narendra Ahuja', 'John M. Hart', 'U K. Visesh', 'P. J. Narayanan', 'C. V. Jawahar']
I am writing a research paper on a idea A Vision System for Monitoring Intermodal Freight Trains
[{"from": "human", "value": "I am writing a research paper on a idea A Vision System for Monitoring Intermodal Freight Trains"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe the design and implementation of a vision based Intermodal Train Monitoring System (ITMS) for extracting various features like length of gaps in an intermodal (IM) train which can later be used for higher level inferences. An intermodal train is a freight train consisting of two basic types of loads - containers and trailers. Our system first captures the video of an IM train, and applies image processing and machine learning techniques developed in this work to identify the various types of loads as containers and trailers. The whole process relies on a sequence of following tasks -robust background subtraction in each frame of the video, estimation of train velocity, creation of mosaic of the whole train from the video and classification of train loads into containers and trailers. Finally, the length of gaps beten the loads of the IM train is estimated and is used to analyze the aerodynamic efficiency of the loading pattern of the train, which is a critical aspect of freight trains.  focusses on the machine vision aspect of the whole system"}]