2D dimension, location and speed descriptors from surveillance video

Use of video surveillance systems are on the rise for various applications such as protecting the personnel property, law enforcement and traffic management. In surveillance applications; it is necessary to automatically extract actual 2D dimension, location and speed descriptors of moving objects from the surveillance video for annotation and indexing purposes. In this paper we propose a method of estimating the actual 2D dimension, location and speed descriptors of moving objects especially from surveillance video of indoor environments such as indoor car parks, corridors of buildings, shopping malls etc. Experiments are conducted to find the accuracy of the estimated 2D dimension, location and speed of the moving object and the accuracy is found to be high.