An Efficient Text Capture Method for Moving Robots Using DCT Feature and Text Tracking
An Efficient Text Capture Method for Moving Robots Using DCT Feature and Text Tracking
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DOI：
10.1109/icpr.2006.243
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发表时间：
2006-08
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影响因子：
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通讯作者：
Hiroki Shiratori;Hideaki Goto;Hiroaki Kobayashi
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文献类型：
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作者：
Hiroki Shiratori;Hideaki Goto;Hiroaki Kobayashi
当移动机器人试图通过机载摄像机在周围场景中找到文本时，相同的文本串出现在许多图像帧中。由于重复识别相同的文本串是浪费时间的，因此有必要减少用于识别的文本候选区域。本文提出了一个文本捕获系统，可以通过一个主动摄像头环顾四周的环境，减少要识别的文本串的数量。通过改进的DCT特征从图像中提取文本候选区域。在视频序列中跟踪文本区域以减少文本候选串。在实验中，我们测试了55个图像的走廊与七个文本字符串。该方法将文本候选区域减少了86.8%
When a moving robot tries to find text in the surrounding scene by an onboard video camera, the same text strings appear in many image frames. Since it is a waste of time to recognize the same text strings repeatedly it is necessary to decrease text candidate regions for recognition. This paper presents a text capture system that can look around the environment by an active camera, reducing the number of text strings to be recognized. The text candidate regions are extracted from the images by an improved DCT feature. The text regions are tracked in a video sequence to reduce the text candidate strings. In experiments, we tested 55 images of corridor with seven text strings. The text candidate regions are reduced by 86.8% by our method