基于DSP车辆视频检测背景更新算法

Abstract

Abstract:

A multi-frame average algorithm and a self-adaptive update algorithm are described and implemented on ADSP-BF561 DSP platform.Both algorithms are commonly used in background update in video vehicle detection.The accuracy of the two algorithms is proved by testing,and the real-time performance is compared and analyzed.

Key words: vehicle detection;video;background update;DSP

CLC Number:

TP274

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WANG Min, ZHENG Jia-Hao, WANG Jin-Bao. Algorithm for Background Update in Video Vehicle Detection Based on DSP[J]., 2012, 25(5): 129-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2012/V25/I5/129

References

［1］刘相莹.智能交通中的车辆检测技术及其发展［J］.科技信息,2007(28):263-264.

［2］张晖,董育宁.基于视频的车辆检测算法综述［J］.南京邮电大学学报,2007,27(3):88-94.

［3］LEI MANCHUN,DAMIEN L,PIERRE G,et al.A video-based real-time vehicle counting system using adaptive background method［C］.IEEE International Conference on Signal Image Technology and Internet Based Systems,2008:523-528.

［4］Analog Devices,Inc.ADSP-BF561 EZ-KIT lite evaluation system manual［M］.USA:Analog Devices,Inc,2008.

［5］Analog Devices,Inc.ADSP-BF61 blackfin processor hardware reference［M］.USA:Analog Devices,Inc,2010.

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Algorithm for Background Update in Video Vehicle Detection Based on DSP

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