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基于DM6437的运动目标检测系统 被引量:2

Moving target detecting system based on DM6437
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摘要 采用非参数化的核密度估计完成背景减法,设计了基于高端数字媒体处理器KM6437的实时运动目标检测系统。提出了一种有效的背景更新策略,使得背景的更新更加可靠,提高了检测的精确度。实验表明该系统能够对目标进行比较实时和准确的检测。 A real-time target detecting system was designed based on high-end digital media processor DM6437.Non-parametric kernel density estimation was used during background subtraction. An effective background updating method was proposed to guarantee reliability in updating and precision in detecting. The experiments have shown the system's real-timing and accuracy in target detecting.
出处 《信息化纵横》 2009年第12期54-57,61,共5页
基金 四川科技厅应用基础研究项目(2008ly0115-2)
关键词 DM6437 非参数化的核密度估计 背景更新 DM6437 non-parametric kernel density estimation background updating
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参考文献7

  • 1OMAR J, KHURRAM S, MUBARAK S.A hierarchical approach to robust background subtraction using color and gradient information [A].Proceedings of the Workshop on Motion and Video Computing [C].2002:22-27.
  • 2STAUFFER C, GRIMSON W.E.L. Adaptive background mixture models for real-time tracking[A].Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, [C].1999, (2):246-252.
  • 3ELGAMMAL A, HARWOOD D, DAVIS L. Non-parametric model for background subtraction. IEEE FRAME-RATE Workshop, 1999:246-252.
  • 4DUFAUX F,KONRAD J E. Robust and fast global motion estimation for video coding[J].IEEE Transactions on Image Processing, 2000:497-501.
  • 5Texas Instruments Incorporated.Texas instruments. TMS320DM6437 digital media processor, 2008.
  • 6Texas Instruments Incorporated.Texas instruments.TMS320C6000 DSP/BIOS application programming interface (API) reference guide, 2004.
  • 7CUCCHIARA R I. Shadow suppression in moving object detection with HSV color information[J]. Proceedings of lntel. Transportation Systems Conference,2001.334-339.

同被引文献17

  • 1Texas Instruments.TMS320DM6437 Digital Media Processor[M].2008.
  • 2Texas Instruments.TMS320C6000 DSP Application Programming Interface (API) Port Reference Guide[M].2004.
  • 3Texas Instruments.TMS320C600 DSP External Memory Interface Reference Guide[M].2005.
  • 4SHEIKH Y,SHAH M.Bayesian modeling of dynamic scenes for ob-ject detection[J].IEEE Trans.Pattem Analysis and Machine Intelligence,2005,27 (11):1778-1792.
  • 5Ng T T,Chang S F,Sun Q B.Blind Detection of digi-tal photomontage using higher order statistics[C]//Pro-ceedings of International Symposium on Circuits and Systems,2004,5:688-691.
  • 6Lin Zhouchen,Wang Rongrong,Tang X,et al.Detecting doctored images using camera response normality and consistency[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition,San Diego,2005:1087-1092.
  • 7Lin S,Gu J,Yamazaki S,et al.Radiometric calibration from a single image[C]//Proceedings of CVPR,2004:938-945.
  • 8Hsu Y F,Chang S F.Detecting image splicing using ge-ometry invariants and camera characteristics consistency[C]//Proceeding of2006IEEE International Conference on Multimedia and Expo,Toronto,Canada,2006:549-552.
  • 9Chang Y C,Reid J F.RGB calibration for color image analysis in machine vision[J].IEEE Transaction on Image Processing,1996,5(10):1414-1422.
  • 10Debevec P E,Malik J.Recovering high dynamic range radiance maps from photographs[C]//SIGGRAPH97Computer Graphics Annual Conf,1997:369-378.

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