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基于人脸检测的人脸跟踪算法 总被引:10,自引:0,他引:10
文章提出了一种基于人脸检测技术的人脸跟踪算法。该算法利用前一帧的人脸检测结果预测当前帧中人脸可能的尺度与位置范围,在限定的范围内采用模板匹配与人工神经网分类的方法定位人脸,从而实现快速而可靠的人脸跟踪。由于使用了人脸检测技术,该方法可以自动定位初始人脸。实验表明该方法在具有复杂、动态变化背景的图象序列中是很有效的,速度为5-11Hz,可用于实时性系统。 相似文献
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An approach is presented to detect faces and facial features on a video segment based on multi-cues,including gray-level distribution,color,motion,templates,algebraic fatures and so on .Faces are fist detected across the frames by using color segmentation,template matching and artificial neural network.A PCA-based (Principal Component Analysis) feature detector for still images is then used to detect facial features on each single frame until the resulting features of three adjacent frames ,named as base frames,are consistent with each other.The fatures of frames neighboring the base ,frames are first detected by the still-imagte feature detector,then verified and corrected according to the smoothness constraint and the planar surface motion constraint.Experiments have been performed on video segments captured under different environments ,and the presented method is proved to be robust and accurate over variable poses ,agtes and illumination conditions. 相似文献
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提出了一种基于多模板匹配的一般环境图象中单人脸的检测方法。首先用双眼模板初步筛选,然后使用具有不同长宽比的多个人脸模板进行检测和定位,最后利用有脸器官的边缘特征进行确认。采用比固定比率压缩输入图象的方法解决不同尺度有脸的检测问题。实验表明这种方法具有较高的速度和检测成功率。 相似文献
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