摘要： 给出一种在复杂背景下的视频文字跟踪和文字笔画提取方法。用基于Harris角点特征的点模式匹配法跟踪视频序列中静止和运动的文字，以确定文字序列的时间属性，比较了采用图像整体像素匹配和点模式匹配的跟踪精度。用基于多帧融合思想的前景/背景识别算法提取视频文字笔画并作OCR识别。实验结果显示，点模式匹配的跟踪算法比图像整体像素匹配的算法跟踪精度更高，在图像背景复杂、变化快的情况下，基于多帧融合的文字笔画提取方法优于传统的二值化方法。

关键词: 视频文字跟踪, 点模式匹配, 文字笔画提取

Abstract:

This paper proposes a video text tracking and text stroke extraction method under complex background. A point matching method based on Harris corner features is introduced to track text objects. The performance is evaluated by the comparison with SSD-based tracking method. A multi-frame-based foreground/background recognition algorithm is proposed to extract text strokes for optical character recognition. The efficiency and robustness of the point matching method for video text tracking and the text stroke extraction algorithm are proved by objective and thorough experiments on TV serials and movies.

Key words: video text tracking, corner feature matching, text stroke extraction

中图分类号: 

• TP391