Video Stabilization Using Kalman Filtering
محل انتشار: دومین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات
سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,689
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شناسه ملی سند علمی:
NCSCIT02_012
تاریخ نمایه سازی: 17 اردیبهشت 1391
چکیده مقاله:
In this paper, we present a new digital image stabilization (DIS) algorithm based on feature point tracking Feature points well tracked by the Kanade-Lucas-Tomasi (KLT) tracker are used to estimate the global motion between two consecutive image frames. The motion prediction with the Kalman filter (KF) is incorporated into the KLT tracker tofurther speed up the tracking process. Moreover, we develop an adaptive KF to better handle the intentional motion of thecamera. In addition, a new scheme is also proposed to detect the scene change and automatically change the reference frame. Experimental simulation shows that the proposed DIS algorithm has the characteristics of high accuracy, good robustness to different irregular conditions
کلیدواژه ها:
Digital image stabilization (DIS) ، adaptive Kalman filter ، feature point tracking ، scene change ، KLT tracker
نویسندگان
Ali farmani
Department of Electrical and Computer,University of Tabriz,Tabriz, Iran
Mehdi rabizadeh
Department of Electrical Engineering, khaje nasir University,Tehran, Iran
Hossien Balazadeh bahar
Department of Electrical Engineering,University of tabriz,Tabriz, Iran