-
Advanced Search

Citation: Xudong WANG, Yiwei WANG, He YAN. Continuously Adaptive Mean-shift Tracking Algorithm with Suppressed Background Histogram Model[J]. Journal of Electronics and Information Technology, ;2019, 41(6): 1480-1487. doi: 10.11999/JEIT180588 shu

Continuously Adaptive Mean-shift Tracking Algorithm with Suppressed Background Histogram Model

  • Corresponding author: Xudong WANG, xudong@nuaa.edu.cn
  • Received Date: 2018-06-13
    Accepted Date: 2019-03-08
    Available Online: 2019-06-01

Figures(10)

  • For the deficiency of traditional Continuously Adaptive Mean-shift (CAMshift) tracking algorithm can easily contain a large number of color information which belongs to the background in the process of establishing the target color model, an improved algorithm is proposed. The original image is divided into foreground and background based on the Gaussian Mixture Model(GMM). In the original image and the background image, the histogram of the hue component is established. Hue histograms of the background image are used to calculate the weight of the hue component in the original image. The hues belonging to the background are suppressed and the color differences between foreground and background are expanded. Experiment shows that by suppressing the hue components belonging to the background, the saliency of the target color model is expanded. The accuracy and stability of the target recognition are improved. The ratio of the max deviation to the target is less than 20%, which ensures the target not to be lost.
  • 加载中
    1. [1]

      黄凯奇, 陈晓棠, 康运锋, 等. 智能视频监控技术综述[J]. 计算机学报, 2015, 38(6): 1093–1118. doi: 10.11897/SP.J.1016.2015.01093
      HUANG Kaiqi, CHEN Xiaotang, KANG Yunfeng, et al. Intelligent visual surveillance: A review[J]. Chinese Journal of Computers, 2015, 38(6): 1093–1118. doi: 10.11897/SP.J.1016.2015.01093

    2. [2]

      TIAN Yumin, ZHENG Haihong, CHEN Qichao, et al. Surveillance video synopsis generation method via keeping important relationship among objects[J]. IET Computer Vision, 2016, 10(8): 868–872. doi: 10.1049/iet-cvi.2016.0128

    3. [3]

      BELYAEV E, VINEL A, SURAK A, et al. Robust vehicle-to-infrastructure video transmission for road surveillance applications[J]. IEEE Transactions on Vehicular Technology, 2015, 64(7): 2991–3003. doi: 10.1109/TVT.2014.2354376

    4. [4]

      GARCíA-MARTíN á and MARTíNEZ J M. People detection in surveillance: Classification and evaluation[J]. IET Computer Vision, 2015, 9(5): 779–788. doi: 10.1049/iet-cvi.2014.0148

    5. [5]

      李刚, 何小海, 张生军, 等. 改进的基于GMM的运动目标检测方法[J]. 计算机应用研究, 2011, 28(12): 4738–4741. doi: 10.3969/j.issn.1001-3695.2011.12.090
      LI Gang, HE Xiaohai, ZHANG Shengjun, et al. Improved moving objects detection method based on GMM[J]. Application Research of Computers, 2011, 28(12): 4738–4741. doi: 10.3969/j.issn.1001-3695.2011.12.090

    6. [6]

      修春波, 魏世安. 显著性直方图模型的Camshift跟踪方法[J]. 光学精密工程, 2015, 23(6): 1749–1757. doi: 10.3788/OPE.20152306.1749
      XIU Chunbo and WEI Shian. Camshift tracking with saliency histogram[J]. Optics and Precision Engineering, 2015, 23(6): 1749–1757. doi: 10.3788/OPE.20152306.1749

    7. [7]

      ZHOU Hailing, KONG Hui, WEI Lei, et al. Efficient road detection and tracking for unmanned aerial vehicle[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(1): 297–309. doi: 10.1109/TITS.2014.2331353

    8. [8]

      LAN Jinhui, JIANG Yaoliang, FAN Guoliang, et al. Real-time automatic obstacle detection method for traffic surveillance in urban traffic[J]. Journal of Signal Processing Systems, 2016, 82(3): 357–371. doi: 10.1007/s11265-015-1006-4

    9. [9]

      刘嘉敏, 梁莹, 孙洪兴, 等. 融合检测和跟踪的实时人脸跟踪[J]. 中国图象图形学报, 2015, 20(11): 1473–1481. doi: 10.11834/jig.20151106
      LIU Jiamin, LIANG Ying, SUN Hongxing, et al. Real-time face tracking based on detecting and tracking[J]. Journal of Image and Graphics, 2015, 20(11): 1473–1481. doi: 10.11834/jig.20151106

    10. [10]

      HOCINE L, CAO Wei, DING Yong, et al. Adaptive learning rate GMM for moving object detection in outdoor surveillance for sudden illumination changes[J]. Journal of Beijing Institute of Technology, 2016, 25(1): 145–151. doi: 10.15918/j.jbit1004-0579.201625.0121

    11. [11]

      KIM Y, HAN W, LEE Y H, et al. Object tracking and recognition based on reliability assessment of learning in mobile environments[J]. Wireless Personal Communications, 2017, 94(2): 267–282. doi: 10.1007/s11277-016-3292-y

    12. [12]

      陈杏源, 郑烈心, 裴海龙. 基于Camshift和SURF的目标跟踪系统[J]. 计算机工程与设计, 2016, 37(4): 903–906. doi: 10.16208/j.issn1000-7024.2016.04.013
      CHEN Xingyuan, ZHENG Liexin, and PEI Hailong. Object tracking system based on Camshift and SURF[J]. Computer Engineering and Design, 2016, 37(4): 903–906. doi: 10.16208/j.issn1000-7024.2016.04.013

    13. [13]

      LI Fuliang, ZHANG Ronghui, YOU Feng. Fast pedestrian detection and dynamic tracking for intelligent vehicles within V2V cooperative environment[J]. IET Image Processing, 2017, 11(10): 833–840. doi: 10.1049/iet-ipr.2016.0931

    14. [14]

      王玲玲, 裴东, 王全州. 一种改进的Camshift视频目标跟踪算法[J]. 激光与红外, 2015, 45(10): 1266–1271. doi: 10.3969/j.issn.1001-5078.2015.10.024
      WANG Lingling, PEI Dong, and WANG Quanzhou. Video target tracking algorithm based on improved Camshift[J]. Laser &Infrared, 2015, 45(10): 1266–1271. doi: 10.3969/j.issn.1001-5078.2015.10.024

    15. [15]

      MORSHIDI M and TJAHJADI T. Gravity optimised particle filter for hand tracking[J]. Pattern Recognition, 2014, 47(1): 194–207. doi: 10.1016/j.patcog.2013.06.032

  • 加载中
    1. [1]

      Yanjing SUNYunkai SHIXiao YUNXuran ZHUSainan WANG . Adaptive Strategy Fusion Target Tracking Based on Multi-layer Convolutional Features. Journal of Electronics and Information Technology, 2019, 41(10): 2464-2470. doi: 10.11999/JEIT180971

    2. [2]

      Ying ZHANGLingjun GAO . Target Tracking with Underwater Sensor Networks Based on Grubbs Criterion and Improved Particle Filter Algorithm. Journal of Electronics and Information Technology, 2019, 41(10): 2294-2301. doi: 10.11999/JEIT190079

    3. [3]

      Zhiqiang HOULilin CHENWangsheng YUSugang MAJiulun FAN . Robust Visual Tracking Algorithm Based on Siamese Network with Dual Templates. Journal of Electronics and Information Technology, 2019, 41(9): 2247-2255. doi: 10.11999/JEIT181018

    4. [4]

      Zhiqiang HOUShuai WANGXiufeng LIAOWangsheng YUJiaoyao WANGChuanhua CHEN . Adaptive Regularized Correlation Filters for Visual Tracking Based on Sample Quality Estimation. Journal of Electronics and Information Technology, 2019, 41(8): 1983-1991. doi: 10.11999/JEIT180921

    5. [5]

      Jingqi HUANGChen HUShanpeng SUNXiang GAOBing HE . A Distributed Space Target Tracking Algorithm Based on Asynchronous Multi-sensor Networks. Journal of Electronics and Information Technology, 2019, 41(0): 1-8. doi: 10.11999/JEIT190460

    6. [6]

      Rong LANYang LIN . Suppressed Non-local Spatial Intuitionistic Fuzzy C-means Image Segmentation Algorithm. Journal of Electronics and Information Technology, 2019, 41(6): 1472-1479. doi: 10.11999/JEIT180651

    7. [7]

      Qiong WANGYajie LUOSifang LI . Polar Adaptive Successive Cancellation List Decoding Based on Segmentation Cyclic Redundancy Check. Journal of Electronics and Information Technology, 2019, 41(7): 1572-1578. doi: 10.11999/JEIT180716

    8. [8]

      Zewen GUANJianwen CHENZheng BAO . A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR. Journal of Electronics and Information Technology, 2019, 41(7): 1743-1750. doi: 10.11999/JEIT180707

    9. [9]

      Zhongtao LUOPeng LUYangyong ZHANGGang ZHANG . Adaptive Design of Limiters for Impulsive Noise Suppression. Journal of Electronics and Information Technology, 2019, 41(5): 1160-1166. doi: 10.11999/JEIT180609

    10. [10]

      Lei PUXinxi FENGZhiqiang HOUWangsheng YU . Robust Visual Tracking Based on Spatial Reliability Constraint. Journal of Electronics and Information Technology, 2019, 41(7): 1650-1657. doi: 10.11999/JEIT180780

    11. [11]

      Luzhao CHENWanhua ZHUPeilin WUChunjiao FEIGuangyou FANG . Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background. Journal of Electronics and Information Technology, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307

    12. [12]

      Ziyao ZHUShuping HANZhengdong GUOJianbo LIU . Single Beacon Location Algorithm Based on Nonlinear Fading Filter Under Multiplicative Noise Background. Journal of Electronics and Information Technology, 2019, 41(1): 165-171. doi: 10.11999/JEIT180239

    13. [13]

      Hongyan WANGHelei QIUJia ZHENGBingnan PEI . Visual Tracking Method Based on Reverse Sparse Representation under Illumination Variation. Journal of Electronics and Information Technology, 2019, 41(3): 632-639. doi: 10.11999/JEIT180442

    14. [14]

      Yingjie YANGQiang LENGRuixuan PANHao HU . Research on Dynamic Threat Tracking and Quantitative Analysis Technology Based on Attribute Attack Graph. Journal of Electronics and Information Technology, 2019, 41(9): 2172-2179. doi: 10.11999/JEIT181117

    15. [15]

      Gongguo XUGanlin SHANXiusheng DUANChenglin QIAOHaotian WANG . Scheduling Method Based on Markov Decision Process for Multi-sensor Cooperative Detection and Tracking. Journal of Electronics and Information Technology, 2019, 41(9): 2201-2208. doi: 10.11999/JEIT181129

    16. [16]

      Hao WANGXiaonan XUQiming MA . A Robust Broadband Interference Suppression Algorithm Based on Few Snapshots. Journal of Electronics and Information Technology, 2019, 41(4): 851-857. doi: 10.11999/JEIT180505

    17. [17]

      Wenshan CONGLan YUJianghai WO . A Grating Lobe Suppression Method of Wideband Real Time Delay Pattern Based on Particle Swarm Optimization Algorithm. Journal of Electronics and Information Technology, 2019, 41(7): 1698-1704. doi: 10.11999/JEIT180719

    18. [18]

      Zhen DAIPingbo WANGHongkai Wei . Signal Detection Based on Sigmoid Function in Non-Gaussian Noise. Journal of Electronics and Information Technology, 2019, 41(0): 1-6. doi: 10.11999/JEIT190012

    19. [19]

      Lin LILin WANGHongxia HANHongbing JILi JIANG . Research on the Adaptive Synchrosqueezing Algorithm. Journal of Electronics and Information Technology, 2019, 41(0): 1-7. doi: 10.11999/JEIT190146

    20. [20]

      Guangming TANGMingming JIANGYi SUN . Adaptive Color Image Steganography Based on Dynamic Distortion Modification. Journal of Electronics and Information Technology, 2019, 41(3): 656-665. doi: 10.11999/JEIT180388

Metrics
  • PDF Downloads(21)
  • Abstract views(343)
  • HTML views(159)
  • Cited By(0)

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

DownLoad:  Full-Size Img  PowerPoint
Return