Wang Xinlong, Li Na. Error modeling and analysis for random drift of MEMS gyroscopes[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (2): 170-174. (in Chinese)
Citation: Li Juntao, Zhang Hai, Fan Yuezuet al. Multiple moving objects segmentation algorithm in complex traffic scene[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(03): 297-300. (in Chinese)

Multiple moving objects segmentation algorithm in complex traffic scene

  • Received Date: 21 Jun 2005
  • Publish Date: 31 Mar 2006
  • To solve multiple moving objects segmentation problem in complex traffic scene outdoors, a new segmentation algorithm of multiple moving objects segmentation in complex traffic scene of outdoors was developed. The presented method consists of two phases. In the motion detection phase, motion-changed regionwas determined using an improved level set algorithm based on Mumford-Shah model of two consecutive frames difference of image sequence, and an simplified clustering algorithm providing initialization evolution curves of level set algorithm. Motion window was generated through detecting motion-changed region. In themotion segmentation phase, regions segmentation using an improved weighted k-means clustering algorithm of moving windows area were merged based on region motion similarity criterion. Computation time was reduced because of avoiding processing of the whole image. Very promising experimental results indicates that the proposed algorithm is effective with strong robustness using real image sequences of complex traffic scene and can resolve occlusions among multiple moving objects.

     

  • [1] Kouthemy P,Fraancois E. Motion segmentation and dynamic scene analysis from an image sequence[J]. International Journal of Computer Vision, 1993,10(2):157~182 [2] Memin E, Dence P. Estimation and object-based segmentation of the optical flow with robust techniques[J]. IEEE Transactions on Image Procession, 1998, 7(5):703~719 [3] Lipton A, Fujiyoshi H, Patil R. Moving target classification and tracking from real-time video . IEEE Workshop on Applications of Computer Vision . Princeton NJ, 1998.8~14 [4] Foresti G,Murino V,Regazzoni C. Vehicle recognition and tracking from road image sequences[J].IEEE Transaction on Vehicular Technology, 1999,48(1):301~317 [5] 杨 莉,李玉山,刘 洋,等. 复杂背景下多运动目标轮廓检测[J]. 电子与信息学报,2005,27(2):306~309 Yang Li, Li Yushan, Liu Yang, %et al%. Detection contours of multiple moving objects with complex background[J].Journal of Electronics & Information Technology,2005,27(2):306~309(in Chinese) [6] 朱 辉,李在铭,蔡 毅. 基于运动窗生成的时空视频分割[J] 电子学报,2004,32(3):480~484 Zhu Hui,Li Zaiming, Cai yi. Spatio-temporal vido segmentation based on the generation of motion window[J]. Acta Electronica Sinica,2004,32(3):480~484(in Chinese) [7] Fan J, Yu J, Fu G, %et al%. Spatiotemporal segmentation for compact video representation[J]. Signal Processing,2001,16:553~566 [8] Geidenberg R,Kimmel R,Rivlin E, %et al%. Fast geodesic active contours[J]. IEEE Transactions on Image Processing,2001,10(10):1467~1475 [9] Chan F T, Vese L. Active contours without edges[J]. IEEE Trans Image Processing,2001,10(2):266~277 [10] 李 俊, 杨 新, 施鹏飞. 基于Mumford-Shah模型的快速水平集图像分割方法[J]. 计算机学报,2002,11(25):1175~1183 Li Jun, Yang Xin,Shi Pengfei. A fast level set approach to image segmentation based on Mumfor-Shah model[J]. Chinese Journal of Computers,2002 , 11(25):1175~1183(in Chinese) [11] Kottke D, Sun Y. Motion estimation via cluster matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1994,16:1128~1132
  • 加载中

Catalog

    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

    Article Metrics

    Article views(3513) PDF downloads(2480) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return