一种阴影消除算法优化及DSP实现

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 120-123.

一种阴影消除算法优化及DSP实现

祝宇鸿, 陈贺新, 张燕

吉林大学通信工程学院,长春 130012

收稿日期:2012-06-05 发布日期:2013-06-01
作者简介:祝宇鸿(1970-),男,副教授.研究方向:多媒体通信.E-mail:yhzhu@jlu.edu.cn
基金资助:
国家自然科学基金项目(61071074).

Optimization of shadow elimination algorithm and implementation base on DSP

ZHU Yu-hong, CHEN He-xin, ZHANG Yan

College of Communication Engineering, Jilin University, Changchun 130012, China

Received:2012-06-05 Published:2013-06-01

摘要/Abstract

摘要：

优化了一种基于HSV彩色空间模型的双矩形框阴影消除算法的流程,能在运动目标检测时去除阴影干扰的影响,且具有较好的实时性。使用DM642多媒体DSP实现了算法,设置了视频捕获方式、优化了DSP程序。首先进行彩色空间变换;然后利用基于V分量差分视频帧初步确定运动区域和基于S分量的背景差分视频帧精确目标区域;最后把各分量运动目标信息合并,对运动目标进行满足实时性要求的处理。实验结果表明,该算法能够较好地去除阴影,实现了运动目标的精确提取。

关键词: 移动侦测, 阴影消除, 双矩形框, 阈值分割

Abstract:

A algorithm of shadow elimination based "Double rectangles" was optimized,it was in HSV color space.The algorithm may extract the moving object totally by reducing the influence of noise and has good real-time performance.It was realized on TMS320DM642 Video/Imaging DSP.The mode of video capturing was set and the program of DSP was optimized.First,the color space conversion was carried out.Secondly,rectangular moving region was first detected roughly according to the difference video frames based on V component and further accurate located by background subtraction video frames of S component.Finally,it fused targets information of each component in the detected moving region.The capture of targets was accomplished and it had good real-time performance.The results of experiments show that the motion detection algorithm can eliminate shadow fairly good and has good detection result of moving objects.

Key words: motion detection, shadow elimination, double rectangles, threshold segmentation

中图分类号:

TN911.73

祝宇鸿, 陈贺新, 张燕. 一种阴影消除算法优化及DSP实现[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 120-123.

ZHU Yu-hong, CHEN He-xin, ZHANG Yan. Optimization of shadow elimination algorithm and implementation base on DSP[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 120-123.

参考文献

[1] Zhao T,Nevatia R.Tracking multiple humans in complex situations[J].IEEE Trans Pattern Analysis and Machine Intelligence,2004,26(9):1208-1221.

[2] Rafael C Gonzalez,Richard E Woods.Didital image proccessing using MATLAB[M].Beijing:Publish House of Electronics Industry,2009.

[3] Cucchiara R,Crana C,Piccardi M,et al.Improving shadow suppression in moving object detection with HSV color information[C]//The Proc of IEEE International Conference on Intelligent Transportation Systems.Oakland(CA),USA,2001:334-339.

[4] Kilger M.A shadow handler in a video-based real-time traffic monitoring system[C]//The Proc of IEEE Workshop on Applications of Computer Vision.Palm Springs,CA,1992:11-18.

[5] 林坤杰,万晓东.基于边缘信息及光照方向的阴影检测算法[J].计算机工程,2009,35(20):192-196. LIN Kun-jie,WAN Xiao-dong.Shadow detection algorithm based on edge information and illumination direction[J].Computer Engineering,2009,35(20):192-196.

[6] 刘雪,常发亮,王华杰.运动目标检测中的阴影去除方法[J].微处理机,2008(5):116-117. LIU Xue,CHANG Fa-liang,WANG Hua-jie.An shadow suppression method in detecting moving object[J].Microprocessors,2008(5):116-117.

[7] 张燕.移动侦测的抗干扰算法研究[D].长春:吉林大学,2011. Zhang Yan.Research on anti-interference algorithm of motion detection[D].Changchun:Jilin University,2011.

[8] Surendra Gupte,Osama Masoud,Robert F K Martin,et al.Papanikolopoulos,detetion and classification of vehicles[J].IEEE Transactions on Intelligent Transportation Systems,2002,3(1):37-47.

[9] Ti,Inc.TMS320DM642 Video/Imaging Fixed-Point Digital Signal Processor (Rev.D)[EB/OL].(2010-10-19).http://www.ti.com/product/sm320dm642-ep.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed