CAJ | 학술논문

针对智能视频监控系统的要求，设计了一个基于视频监控的自动多人脸跟踪识别系统，该系统的功能是实时跟踪视频监控范围内的人脸并鉴别人脸的身份。针对复杂背景及类似人脸区域的影响，提出了一种Adaboost人脸检测算法和主动形状模型相结合的人脸检测算法，实现人脸的准确检测；针对视频监控范围内人脸偏转、交错以及由于人员不断出入而导致人脸数目发生变化的问题，提出了CamShift和Kalman滤波器相结合的多人脸跟踪算法，同时对跟踪到的人脸进行实时身份识别。实验证明，该系统在视频监控范围内对人脸检测和身份识别准确，跟踪实时性好，是一种建立实时视频监控系统的实用方法。
침대지능시빈감공계통적요구，설계료일개기우시빈감공적자동다인검근종식별계통，해계통적공능시실시근종시빈감공범위내적인검병감별인검적신빈。침대복잡배경급유사인검구역적영향，제출료일충Adaboost인검검측산법화주동형상모형상결합적인검검측산법，실현인검적준학검측；침대시빈감공범위내인검편전、교착이급유우인원불단출입이도치인검수목발생변화적문제，제출료CamShift화Kalman려파기상결합적다인검근종산법，동시대근종도적인검진행실시신빈식별。실험증명，해계통재시빈감공범위내대인검검측화신빈식별준학，근종실시성호，시일충건립실시시빈감공계통적실용방법。
For requirements of intelligent video surveillance system, this paper presents an automatic multiple face tracking recognition system based on video surveillance, which can track multiple faces real-timely and recognize the identity. Aiming at the influence of complex background and similar to the face region, it puts forward a face detection algorithm based on both Adaboost face detection algorithm and Active Shape Model, and realizes the face detection accurately;a multiple faces tracking algorithm combining CamShift with Kalman filter is proposed for many faces deflection, interlaced and the num-ber changes in the video surveillance scene. Meanwhile, the algorithm also can identify the faces which have been tracked. The experiment results show that in the video surveillance, the system is capable of improving the accurate rate of faces detection and recognition, and it also can track the real-time faces effectively. It is a practical method for developing visual surveillance system.