Spatial and temporal sampling control for visual surveillance application

In this paper a novel way to control the amount of generated video surveillance data by controlling the spatial and temporal samplings of video is proposed. The samplings are controlled adaptively using the speed, distance and dimension of the object extracted dynamically from the surveillance video. We also present a method of estimating the actual 2D dimension, location and speed of moving objects especially from surveillance video of indoor environments such as indoor car parks, corridors of buildings, shopping malls etc. Experiments were conducted to study the generated data size reduction and the reduction is found to be substantial and also to find the accuracy of the estimated 2D dimension, location and speed of the moving object and the accuracy is found to be high.