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Research on Moving Object Segmentation and Its Implementation in Embedded System

Author: LiangYun
Tutor: BiSheng
School: Dalian Maritime University
Course: Electronics and Communication Engineering
Keywords: Moving object segmentation Mixture Gaussian background model Embedded DM642
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 83
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Abstract


Moving object segmentation algorithm has been the research focus of the image sector , an important task is the actual video processing system is a reliable target tracking and identification of key premise , it affects the field of computer vision image processing tasks completed . Moving object segmentation algorithm to promote the development of the field of image processing, pattern recognition, artificial intelligence, computer vision and other related applications in video surveillance, video compression , robot vision , military guidance , medical diagnostics and other fields have a wide range of important applications . The TMS320DM642 is the TI has introduced a field of multimedia processing applications , high - performance 32-bit fixed - point DSP . It is based on the C64x core architecture , integrated peripherals and video interface , good cost- performance embedded video processing systems . This paper is a moving target segmentation algorithm implemented in the hardware development board based on this chip is completed . This thesis for the segmentation algorithm embedded systems do try to respond to the requirements of moving object segmentation in complex background . First moving object segmentation algorithm were reviewed, including frame difference method, background subtraction , optical flow method by Matlab simulation , the actual needs of the project , the selection algorithm . And then design the DSP embedded system implementation , including OpenCV ported to the method , the the DSP allocation of resources and software modules in the DSP embedded system design and algorithm module . Completed a moving target segmentation algorithm based on SEEDVPM642 development board embedded system , summed up the engineering optimization methods , and practical work encountered debugging problems and their solutions are summarized Finally, embedded system partition The results and analysis .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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