Speed Estimation using Camera Modeling from Video Sequences for Visual Tracking Application

Abstract

Object motion analysis is widely used in real time application. Motion Parameters like location, directions and speeds are derived for the learning of Machine Intelligence System. In the Visual Tracking and machine intelligence system, the motion analysis of an object and interpretation of the object behavior are performed from image sequences or consecutive video frames. In this paper, the motion parameters of the objects have been calculated using camera model parameters and implemented with best location of camera for object tracking. Practical results are performed with different Image sensor size of CCD Camera with different mounting of location having different distance angle of on traffic road to measure the speed and direction of vehicles using 2-D image video.