基于视频序列的运动目标追踪算法

Abstract

Abstract:

An algorithm for moving object tracking based on video sequence is introduced,which integrates Kalman filtering and Meanshift algorithm to realize fast-moving target tracking.Kalman filter predicts the possible position in the next frame,while the Meanshift algorithm locates the precise position of the Target.Actual tests show that this algorithm effectively overcomes the problem of missing target when the tracking target is moving fast,and that target tracking efficiency is improved significantly.

Key words: target tracking;kalman;Meanshift

CLC Number:

TN919.8

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LI Yang. Moving Object Tracking Algorithms Based on Video Sequence[J]., 2012, 25(8): 125-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2012/V25/I8/125

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Moving Object Tracking Algorithms Based on Video Sequence

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