Tracking failures detection and correction for face tracking by detection approach based on fuzzy coding histogram and point representation

S. Wibowo, Hansoo Lee, Eun Kyeong Kim, Taehyun Kwon, Sungshin Kim
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引用次数: 6

Abstract

A tracking approach was shifted from prediction approach to detection approach. One of the parameters to make tracking by detection successfully is the result from previous frame should be correct. It is caused the result from previous frame will be used as a tracking target for next frame. Because of that reason, tracking failures detection and correction needed. In this paper, a method to detecting and correcting of tracking failures by using fuzzy coding histogram and point representation are proposed. Expressly, a fuzzy coding histogram is used to detecting failures tracking and point representation is used to correcting the tracking result. We compared our method with the original tracking by detection method and tracking using point representation method. The results show that our method performed more stable to reach minimum error.
基于模糊编码直方图和点表示的人脸跟踪故障检测与校正
跟踪方法由预测方法转变为检测方法。检测跟踪成功的参数之一是前一帧结果的正确性。这是由于前一帧的结果将被用作下一帧的跟踪目标。由于这个原因,跟踪故障检测和纠正是必要的。提出了一种利用模糊编码直方图和点表示来检测和纠正跟踪故障的方法。其中,用模糊编码直方图检测故障跟踪,用点表示对跟踪结果进行校正。将该方法与原始的检测跟踪法和点表示跟踪法进行了比较。结果表明,该方法具有较好的稳定性,可以达到最小误差。
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