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Information Journal Paper

Title

TRACKING MOVING OBJECT BASED ON KALMAN FILTER

Pages

  69-81

Abstract

 In This Research has been studied tracking moving object with filter Kalma. That is based on combination of the forground model in each pixel and Collection of mono hypothesis the background models, all of them are based on the size, position, speed and color distribution of the objects. In order to obtain estimating of object position,  filter Kalman combines  the  estimating  of  object position based on previous measurements  and the estimating  of object  position based  on current  measurements. This combination the minimum variance of obtaines, on the other hand, has the best accuracy. A comparable model of speed and side of normal moving is used for primer estimating of object speed. This model usually is an extensive KALMAN FILTER.System works with video frame rate (between 24 and 40). Supposing that separatibility is enough and the size of the object is not greater than the size of object in primer measurement. In this study, two  models  are  investigating  that consist of  girl dancing and vehicles tracking and  autonomous conclusion  model is proposed, that An has got the factors of both models,with geting the first frame of  an  image  select  algorithm  tracking  related  to  that  image  based on  block diagram.

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    APA: Copy

    AMIN TINAT, B., & MOGHADAM, N.A.. (2006). TRACKING MOVING OBJECT BASED ON KALMAN FILTER. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 3(8), 69-81. SID. https://sid.ir/paper/164729/en

    Vancouver: Copy

    AMIN TINAT B., MOGHADAM N.A.. TRACKING MOVING OBJECT BASED ON KALMAN FILTER. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2006;3(8):69-81. Available from: https://sid.ir/paper/164729/en

    IEEE: Copy

    B. AMIN TINAT, and N.A. MOGHADAM, “TRACKING MOVING OBJECT BASED ON KALMAN FILTER,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 3, no. 8, pp. 69–81, 2006, [Online]. Available: https://sid.ir/paper/164729/en

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