Since face tracking and recognition technology could detect object in a certain distance with an ideal accuracy, it gets more attention and application in security fields.
而人脸检测技术由干在一定的正确率下可以远距离检测目标，越来越得到人们的重视。
In this paper, we explore and research intelligent video surveillance system with the relevant technology, focus on the object recognition and face matching in intelligent video surveillance system.
本文对智能视频监控的相关技术进行了探索和研究，重点对于视频监控中的目标识别和人脸匹配进行了研究和探讨。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
Images from cameras can also be used for object and face recognition, which would make robotic home help even more efficient.
也可用于从摄像机的图像对象和面部识别，这将使机器人家庭帮助更有效。
Meanwhile human face as the visual object of images and videos is taking an important position of status in the studying area of computer vision, pattern recognition and multimedia technology.
与此同时，在计算机视觉、模式识别和多媒体技术等研究领域中，人脸作为图像与视频中的视觉对象之一，占有非常重要的地位。
Meanwhile human face as the visual object of images and videos is taking an important position of status in the studying area of computer vision, pattern recognition and multimedia technology.
与此同时，在计算机视觉、模式识别和多媒体技术等研究领域中，人脸作为图像与视频中的视觉对象之一，占有非常重要的地位。
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