Object Tracking and Speed Estimation Based on the Image

Object tracking and speed estimation is one of the important and practical tasks in machine vision . Numerous approaches for object tracking and speed estimation have been proposed. So classification and survey of the proposed methods can be very useful especially for new researches. The goal of this paper is to review object tracking methods, classify them into different categories and identify new trends. Then, we propose a method to estimate the speed of moving object from single images based on motion blur analysis. There is direct relation between motion parameters and object speed. Speed estimation is performed by camera parameters, imaging geometry and extracted blur parameters. The radon Transform is used for extracted motion blur parameter. Our proposed method decrease the coast of active methods for speed estimating and improved the measurement of motion blur parameters.

کلیدواژه ها:

Blur Analysis ، Object Tracking ، Speed Estimation