Computer Science ›› 2017, Vol. 44 ›› Issue (5): 294-298.doi: 10.11896/j.issn.1002-137X.2017.05.054

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Foreground Object Detection Based on Improved PBAS

WANG Rong-qi, ZHENG Lin and WANG Biao   

  • Online:2018-11-13 Published:2018-11-13

Abstract: To avoid the problems of PABS (Pixel Based Adaptive Segmenter) such as low accuracy rate of detection,replacement of immobile of slow-moving foreground objects by background ones,and the interference of ghosting,this paper presented a new PBAS which is improved by merging pixel-level information and region-level information.A mea-sure of background dynamics fused with structural information and color information at region level is computed firstly.And then this measure will be used to estimate and control the threshold and learning rate,as well as to detect the foreground object.A spatial neighborhood contrast on pixel-level result is computed in order to solve the interfe-rence of ghosting,and a foreground count machine is introduced to avoid the missing of static object in foreground.The experiment results indicate that the algorithm is insensitive to brightness and velocity of objects,thus the foreground object can be detected effectively,and interference of ghosting can be removed quickly with a high accuracy detection rate 92.7% .

Key words: PBAS algorithm,Target detection,Background subtraction,Background complexity,Elimination of ghosting

[1] SOBRAL A,VACAVANT A.A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos[J].Computer Vision & Image Understanding,2014,122(5):4-21.
[2] YE F F,XU L.Real-time detection and discrimination of staticobjects and ghosts[J].Journal of Zhejiang University(Enginee-ring Science),2015,49(1):181-185.(in Chinese) 叶芳芳,许力.实时的静止目标与鬼影检测及判别方法[J].浙江大学学报(工学版),2015,49(1):181-185.
[3] WU D P,CHENG W P,YU S L.Camshift Object Tracking Algorithm Based on inter-frame Difference and Motion Prediction[J].Opto-Electronic Engineering,2010,37(1):55-60.(in Chinese) 邬大鹏,程卫平,于盛林.基于帧间差分和运动估计的Camshift目标跟踪算法[J].光电工程,2010,37(1):55-60.
[4] BARNICH O,VAN DROOGENBROECK M.ViBe:a universal background subtraction algorithm for video sequences[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2011,20(6):1709-1724.
[5] CRISTANI M,MURINO V.Background Subtraction with A-daptive Spatio-Temporal Neighborhood Analysis[C]∥The 3rd International Conference on Computer Vision Theory and Applications.2008:484-489.
[6] WEI G J,HOU Z Q,LI W,et al.Objecet tracking algorithmfused with optical flow detection and template matching[J].Application Reasearch of Computer,2014,31(11):3498-3501(in Chinese) 魏国剑,侯志强,李武,等.融合光流检测与模板匹配的目标跟踪算法[J].计算机应用研究,2014,31(11):3498-3501
[7] DALAL N,TRIGGS B.Histograms of Oriented Gradients for Human Detection[C]∥IEEE Conference on Computer Vision & Pattern Recognition.2005:886-893.
[8] LIU X,LIU H,QIANG Z P,et al.Adaptive Background Mode-ling Based on Mixture Gaussian Model[J].Journal of Image and Graphics,2008,3(4):729-734.(in Chinese) 刘鑫,刘辉,强振平,等.混合高斯模型和帧间差分相融合的自适应背景模型[J].中国图象图形学报,2008,3(4):729-734.
[9] FAN W C,LI X Y,WEI K,et al.Moving Target Detection Based On Improved Gaussion Mixture Model[J].Computer Science,2015,42(5):286-288,319.(in Chinese) 范文超,李晓宇,魏凯,等.基于改进的高斯混合模型的运动目标检测[J].计算机科学,2015,2(5):286-288,319.
[10] ILYAS A,SCUTURICI M,MIGUET S.Real Time Foreground-Background Segmentation Using a Modified Codebook Model[C]∥Proceedings of the 2009 Sixth IEEE International Confe-rence on Advanced Video and Signal Based Surveillance.IEEE Computer Society,2009:454-459.
[11] HOFMANN M,TIEFENBACHER P,RIGOLL G.Backgroundsegmentation with feedback:The Pixel-Based Adaptive Segmenter[C]∥IEEE Computer Society Conference on Computer Vision & Pattern Recognition Workshops.IEEE,2012:38-43.
[12] WANG H,SUTER D.Background Subtraction Based on a Robust Consensus Method[C]∥International Conference on Pattern Recognition.2006:223-226.
[13] BARNICH O,VAN DROOGENBROEK M.Vibe:A universal background subtraction algorithm for video sequences[J].IEEE Transactions on Image Processing,2011,20(6):1709-1724.
[14] LI P,WU X H,HE X H,et al.An Improved PBAS For Moving Object Detection[J].Science Technology and Eiginee-ring,2015,15(27):48-53.(in Chinese) 李棚,吴晓红,何小海,等.一种改进的PBAS运动目标检测算法[J].科学技术与工程,2015,15(27):48-53.
[15] KRYJAK T,KOMORKIEWICZ M,GORGON M.Real-timeForeground Object Detection Combining the PBAS Background Modelling Algorithm and Feedback from Scene Analysis Mo-dule[J].International Journal of Electronics & Telecommunications,2014,60(1):53-64.
[16] WANG H,SUTER D.Background Subtraction Based on a Robust Consensus Method[C]∥International Conference on Pattern Recognition.IEEE Computer Society,2006:223-226.

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