An Accurate Method for Extracting External Contours of Moving Objects

doi:10.3969/j.issn.1006-2475.2016.03.015

Abstract

Abstract: The external contours of moving objects are important information sources for semantic analysis of moving objects in video surveillance system. For some defects of external contours through simple morphological processing of moving objects area, a more accurate method is proposed. Firstly, a roughly determined moving objects area is got through foreground detection. Secondly, the external contours area is roughly localized through the watershed method. Finally, the external contours area is accurately localized to extract accurate external contours through shadow removal and object reconstruction. By using the accuracy rate, recall rate and comprehensive performance norm, the experimental results show that it could get more accurate external contours.

Key words: contour extraction, foreground detection, watershed method, shadow removal, object reconstruction

CLC Number:

TP391

CHEN Hong-you, LI Yu-feng. An Accurate Method for Extracting External Contours of Moving Objects[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.03.015.

References

[1] 谢立,胡玲玲,吕一品,等. 面向智能视频监控系统运动目标检测的轮廓提取方法[J]. 东南大学学报(自然科学版), 2012,42(S1):31-35.

[2] 邱书波,王化祥,梁志伟. 一种新的B-Snake算法在目标轮廓跟踪中的应用[J]. 中国图象图形学报, 2005,10(5):585-589.

[3] 陶志颖,鲁昌华,汪济洲,等. 一种改进型的时空混合高斯背景建模[J]. 电子测量与仪器学报, 2014,28(9):986-990.

[4] 陈龙虎,尚岩峰,梅林,等. 基于改进型混合高斯模型的嵌入式实时运动检测系统[J]. 计算机测量与控制, 2014,22(12):3857-3859.

[5] 黄文丽. 运动人体检测与行为识别研究[D]. 绵阳:西南科技大学, 2012.

[6] 马建林,崔志明,张娜敏,等. 基于一种新的Snake模型的序列图像边缘提取算法[J]. 计算机应用, 2008,28(4):982-985.

[7] 孙明玉,丁莹,李文辉,等. 一种自适应阈值的运动目标提取算法[J]. 计算机应用研究, 2010,27(6):2380-2383.

[8] 杨金龙. 图像分割算法研究与实现[D]. 兰州:西北师范大学, 2009.

[9] Wang Pengfei, Zhao Fan, Ma Shiwei. Skeleton extraction method based on distance transform[C]// Proceedings of the 11th IEEE International Conference on Electronic Measurement & Instruments. 2013,2:519-523.

[10] Liu Wenping, Jiang Hongbo, Bai Xiang, et al. Distance transform-based skeleton extraction and its applications in sensor networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2013,24(9):1763-1772.

[11] 李劝男. 灰度图像骨架的提取及在物体检测中的应用[D]. 武汉:华中科技大学, 2009.

[12] Cheng Heng-da, Sun Ying. A hierarchical approach to color image segmentation using homogeneity[J]. IEEE Transactions on Image Processing, 2000,9(12):2071-2082.

[13] 余敏锋. 基于水平集和分水岭的图像分割算法研究[D]. 西安:西安电子科技大学, 2014.

[14] 程淑红,张典范,胡春海,等. 基于标记的多尺度分水岭视频目标分割算法[J]. 光电工程, 2010,37(4):130-134.

[15] Vachier C, Meyer F. The viscous watershed transform[J]. Journal of Mathematical Imaging and Vision, 2005,25(2-3):251-267.

[16] Meyer F, Vachier C. Image segmentation based on viscous flooding simulation[C]// Proceedings of the 5th International Symposium on Mathematical Morphology. 2002:69-77.

[17] Xu Li-qun, Landabaso J L, Pardàs M. Shadow removal with blob-based morphological reconstruction for error correction[C]// Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005,2:729-732.

[18] 高东旭,曹江涛,李平. 基于HSV空间阴影去除方法研究与应用[J]. 电子设计工程, 2014,22(13):65-68.

[19] 杨健全. 视频监控中的目标检测及阴影去除算法研究[D]. 长沙:国防科学技术大学, 2006.