مشاهده مشخصات مقاله
Human Surveillance: A New Non Linear Tracking Technique
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نویسنده (ها) |
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Hadi Sadoghi Yazdi
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Seyed Ebrahim Hosseini
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
This paper presents the theoretical development of nonlinear adaptive filter based on a concept of
filtering in high dimensional space (HDS). The most common procedures for nonlinear estimation are the extended
Kalman filter. The basic idea of the extended Kalman filter (EKF) is to linearize the state-space model at each time
instant around the most recent state estimate. Once a linear model is obtained, the standard Kalman filter equations
are applied. Main innovation in this paper is new linearization technique in EKF. The Linearization is performed by
converting existing space to high dimensional space. HDS helps having linear space from nonlinear space. In this
linear space, the standard Kalman filter gives rise to better results in estimation and prediction purposes. It is proven
that MSE and error variance in this space is less than the input space. The proposed EKF is implemented in
pedestrian tracking and results show that our method is superior to the standard extended Kalman filter. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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