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Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences

Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences,10.1007/978-3-642-04772-5_46,José Luis Crespo,Pilar Bernardo

Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences  
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The objective of this paper is to analyse the influence of the different parameters used for an overall approach to forecasting a future position of the mobile objects of an image sequence after processing the previous images to it. Our approximation uses classical techniques such as optical flow to extract object’s trajectories and velocities and autoregressive algorithms to build the predictive model. Applications to outdoor scenarios are possible, for videos where stationary cameras are used and moving objects follow an affine displacement field. In this work, traffic sequences with different meteorological conditions are studied.
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