Object detection with Artificial neural networks combined with dyadic image downscaling using Haar transform
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Date
2008, 2008
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Abstract
This paper describes the methodology for identifying a moving object by a fast dyadic image downscaling combined with a neural network (a multi layer perceptron). Given a sequence of images here we basically try to detect a particular type of object (here we used cars) which can be located in different distances. Either it is closer to the or moving away from the camera.