基于梯度向量的复杂场景文本定位

针对复杂场景的视频,在传统的梯度检测算法基础上融入多尺度技术,提出一种由粗到细的两阶段视频字符文本检测新算法.首先,利用加权平均梯度能量特征和运动能量特征对采样帧粗检测,形成候选文本区;然后,通过连通域分析,过滤部分虚检的候选文本区,再利用梯度方向的统计特征进行验证,得到精确的检测结果.仿真结果表明,本方法在处理复杂背景视频图片时具有较好的鲁棒性.

A Gradient Vector Based Text Localization Scheme for Complex Video

For digital video in complex scene,a multi-scale technique was fused into the conventional gradient detection,and a two-stage coarse-to-fine text detection algorithm was proposed.The features of weighted averaging gradient energy and motion energy were exploited to coarsely detect sample frame and obtain the candidate text regions.The false detected candidate text regions were filtered by connected-component analysis.The statistical characteristics of gradient direction were further utilized to obtain the fine detection results.Experimental results have shown that the proposed approach is robust for digital video with complex backgrounds.