复杂光照环境下视频人脸序列的自动检测方法

基于视频序列人脸自动检测是人脸跟踪、识别等研究的基础。提出了一种结合图像增强技术、gabor特征变换和adaboost算法的视频序列人脸检测方法，其主要思想是使用图像增强技术对图像进行光照补偿，减轻不同的光照条件(如局部的阴影和高亮等)对检测结果的影响。该方法首先通过高频增强滤波强化图像的边缘和细节信息，用基于直方图的技术来调节图像的亮度，然后应用gabor小波变换进行特征抽取，最后采用adaboost方法训练样本，完成人脸的检测。实验表明，该方法能够在不同的光照条件下准确检测出人脸，显示出较强的鲁棒性。

Automatic Face Detection in Video Sequences in Complex Lighting Environments

Auto human face detection from video sequences is the base of studies for human face recognition and track-ing. This paper proposed an efficient and robust method to detect face in vido sequences. The key step of this work is touse the technique of image enhancement to alleviate the impact of human face detection caused by variation illuminationsuch as local shadow and highlight The approach firstly strengthens the edge and detail information of images by meansof high-frequency enhanced filtering and uses histogram-based technictue to adjust the brightness of the image,then ap-plies the Gabor wavclet to extract features of images,finally trains samples using the adaboost algorithm and completeface detection. The experimental results show that the approach can detect human face accurately under different light-ing conditions.