Research on the number recognition based on athlete number plate image
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摘要: 田径运动项目中通常拍摄得到大量的图像，如何快速获取特定运动员的图像成为普遍关注的问题.为了快速检索包含特定运动员的图像，本文提出了识别图像中运动员编号的方法，依据运动员编号的识别达到快速检索的目的.首先，采用DPM（DeformablePart Model）（可形变部件模型）进行人体检测，缩小搜索范围，接着按照运动员号码牌的先验知识，采用两种方式进行运动员号码牌定位，保障定位的可靠性；然后对定位出的号码牌进行字符分割；最后采用基于特征的BP（BackPropagation）神经网络的方法进行号码牌识别.实验结果表明，在运动员号码牌几乎无遮挡的情况下，使用本文提出的方法能有效地识别出完整号码牌；在运动员号码牌存在部分遮挡时，可以识别出未被遮挡部分的编号.本文提出的运动员号码牌识别方法为检索特定运动员图像提供了思路，大大减少了普遍采用的人工查找方式的工作量.Abstract: A lot of images are usually photographed in the sports of track and field, and manual operation is a general method to retrieve image containing certain athletes. In order to quickly retrieve images containing a particular player, a method based on the number to identify a player is proposed. It firstly applied DPM (Deformable Part Model) algorithm to narrow the search scope of number plate. Secondly, according to the prior knowledge, the position of number plate can be located by considering two different ways to ensure the reliability. Thirdly, the characters of number plate are segmented by connected component analysis method. Finally, feature-based BP (Back Propagation) neural network is adopted to recognize the number plate. Experimental results show that the proposed method is efficient to identify the number plate of the players. The number plate recognition method provides a guideline of retrieving a specific player's images.
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表 1 人体检测结果
Tab. 1 The efficiency of human detection
数据 正确检测率/% 误检测率/% 漏检测率/% 所有图像 93.96 3.89 4.99 
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表 2 号码牌定位结果
Tab. 2 The efficiency of number plate location
数据 正确定位率/% 误定位率/% 漏定位率/% 检测到佩戴号码牌人体 93.27 5.80 0.93
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表 3 号码牌分割率
Tab. 3 The efficiency of number segmentation
数据 确分割率/% 误分割率/% 漏分割率/% 定位正确的号码牌 92.31 4.34 3.35 定位正确无遮挡号码牌 92.97 3.94 3.08 定位正确遮挡号码牌 89.32 6.15 4.53
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表 4 号码牌识别率
Tab. 4 The efficiency of number recognition
数据 正确识别率/% 误识别率/% 分割正确无遮挡号码牌 96.07 3.93 分割正确遮挡号码牌 96.01 3.99
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表 5 图像库运动员编号检测结果
Tab. 5 Performance comparisons of number plate recognition
方法 正确检测率/% 误检测率/% 漏检测率/% 基于特征BP神经网络 78.53 3.22 18.24 基于特征的模板匹配 72.47 9.26 18.24
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表 6 各步骤时间效率
Tab. 6 Time efficiency of all steps
步骤 人体检测 号码牌定位 数字分割 数字识别 总体 时间/s 2.04 0.082 0.0002 0.067 2.19
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