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Research on Video Identification System Based on ARM9

Author: WangYang
Tutor: ZhangHongTao
School: Hubei University of Technology
Course: Control Theory and Control Engineering
Keywords: ARM9 H.264 OPENCV Decoding Video recognition
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 74
Quote: 0
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Abstract


The development of information technology , such as audio and video , as the most important carrier of information , in all areas of industrial production and the information society , is playing an increasingly important role . As a video of the massive amount of information is becoming a big bottleneck restricting its development in today's international latest video research is one of the key issues do not affect the premise of the video quality to improve video compression efficiency , H.264 the video data compression standards, the compression efficiency is the highest , in the similar image quality higher than the H.263 and MPEG4 series of nearly 1 times , greatly increasing the video compression efficiency . However, the price paid at the same time enhance the compression performance of H.264 is the enhancement of the complexity of the algorithm , the people in the practical application of the strict requirements of real-time video decoding , corresponding algorithm has many general-purpose processor of the PC - based implementation , while the clock speed and processing power of embedded devices is limited, the storage capacity is relatively small , bus rate is relatively low , it is necessary to code optimization transplantation , in order to meet the demand for real-time decoding applications . Of the H.264 standard and its new features are introduced improvements on the end of decoding algorithms and how time-consuming for decoding module code and algorithms ported to ARM platform , for ARM9 platform -specific optimized by the the peripheral architecture system to complete the acquisition and display of video images , and H.264 format video transmission WIN32 environment , and test results are given . Smart for moving object recognition technology has gradually matured in intelligent video surveillance , mobile object recognition , In this paper, the OPENCV open source vision library WIN32 environment simulation , simulation of intelligent systems fully functional , and may the test results . In this paper, to Wuhan East Pacific Information Industry Co., Ltd. horizontal issues \FBI requirements.

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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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