It should be emphasized that visual tracking is different from motion estimation. The latter concerns only two successive frames; while the former concerns the motion estimation of a whole video sequence. While a naive tracker estimates motion recursively frame by frame, tracking is more than motion estimation as the above naive tracker is prone to drift away. To overcome drifting, the tracking algorithm does the following: (i) updates the appearance model strategically and/or (ii) performs temporal smoothing/fusion.
--- from paper : BoostMotion: Boosting a discriminative similarity function for motion estimation
本文探讨了视觉跟踪与运动估计算法的区别,强调视觉跟踪不仅涉及连续帧间的运动估测,还关注整个视频序列的运动分析。为了克服跟踪过程中出现的漂移问题,文章提出通过更新外观模型及进行时间平滑融合的方法。
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