期刊文献+

基于DSP的视频人脸监控系统设计与实现 被引量:2

Design and Implementation of Video Human Face Monitoring System Based on DSP
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摘要 针对目前人脸监控系统存在不能及时决策、盲目跟踪的问题,提出综合人脸检测、识别、跟踪与控制的智能监控系统,并在TMS320DM642芯片上实现;使用Adaboost级联多层分类器检测人脸,基于Gabor小波图像相似度匹配识别人脸,对识别出的感兴趣人脸用Camshift算法实现跟踪,再通过串口驱动云台带动摄像头旋转,使感兴趣人脸保持在视场内并且在模拟显示器上显示;实验结果表明,本系统满足实时视频监控要求,对人脸旋转、遮挡、光照鲁棒性高;本系统可以推广至视频会议、视频聊天、可视电话等领域,有良好的应用前景。 In view of the current monitoring system can not be timely decision and blind tracking human faces, proposed an intelligent monitoring system, based on face detection, identification, tracking and control of intelligent monitoring systems, and its implementation in the TMS320DM642 chip. It applied AdaBoost algorithm to detect human face, face recognition based on Gabor wavelet, Camshift algorithm is used to track identified face. Through the serial correspond with PTZ driven camera rotation, let interested people face always in the scope of the monitoring and display on the monitor. Experimental results show that, this system can meet real--time requirement, and have good robustness of rotation, occlusion, and illumination. This system can be extended to areas such as video conferencing, video chat, video phone, there are good prospects.
出处 《计算机测量与控制》 CSCD 北大核心 2012年第3期697-701,共5页 Computer Measurement &Control
基金 国家自然科学基金资助项目(60875016) 西北工业大学研究生创业种子基金(Z2011088)
关键词 DSP 人脸检测 GABOR小波 Camshifit 云台控制 DSP face detection Gabor wavelet Camshifit PTZ control
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参考文献6

  • 1Li L S, Zhang Y L, Tian Q C. Mulli-face Location on Embedded DSP Image Processing System [A]. //International Congress on Image and Signal Processing [C]. 2008: 124-128.
  • 2Rahul T, Kalyansundar Archana Kale Amit. Modeling and tracking of faces in real--life illumination conditions [A]. //International Conference on Acoustics, Speech and Signa Processing--Proceed- ings [C]. 2009: 761-764.
  • 3Viola P, Jones M. Rapid objects detection using a boosted cascade of simple features [A]. // Proceedings of IEEE Conference on Computer Vision and Pattern Recognition [C]. Hawaii, 2001, 511 -518.
  • 4Naster C. , Ayaehe N. Frequency-based non-rigid motion analy-sis [J]. IEEE Tans. PAMI, 1996, 18 (11): 1067-1079.
  • 5Liu Q, Cai C H. Duel Search Window Based Face Tracking [A]. International Symposium on Intelligent Signal Processing and Communieation Systems [C]. 2006: 279-282.
  • 6田黎育.TMS320C6000系列DSP编程工具与指南[M].北京:清华大学出版社,2006:1-676.

共引文献20

同被引文献17

  • 1鹿宝生,陈启美,丁胜军.基于TMS320DM642的嵌入式网络视频服务器的实现[J].计算机工程与设计,2006,27(13):2362-2364. 被引量:14
  • 2高红波,王卫星.一种二值图像连通区域标记的新算法[J].计算机应用,2007,27(11):2776-2777. 被引量:75
  • 3葛薇.自动人脸识别的关键问题研究[D]北京:中国科学院研究生院,2007.
  • 4Yang M H,Kriegman D,Ahuja N. Detecting Faces in Images:A Survey[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,(01):34-58.
  • 5Texas Instruments Inc. TMS320DM6437 Digital Media Processor[EB/OL].http://www.ti.com.cn/,.
  • 6瑞泰创新科技有限责任公司.ICETEK-DM6437-B实验手册[S]北京:瑞泰创新科技有限责任公司,2011.
  • 7Augusteijn M F. Identification of Human Faces through Texture-Based Feature Recognition and Neural Network Technology[A].1993.392-398.
  • 8Vidit Jain,Erik Learned-Miller. A Benchmark for Face Detection in Unconstrained Settings[Technical Report UM-CS-2010-009][R].Dept.of Computer Science,University of Massachusetts,Amherst,2010.
  • 9Bafael C Gonzalez,Richard E Woods. Digital Image Processing,Third Edition[M].New Jersey:Prentice Hall Publication,2008.
  • 10龚发根,汪炜,秦拯.基于ZigBee无线传感器网络的工业废气监控系统[J].传感器与微系统,2011,30(1):86-89. 被引量:18

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