Research on the Algorithm of Key Object Extraction in Motion Video Images

Article Preview

Abstract:

In this paper, we extract for key objects of motion video images (mainly people), then do researches with the technology of object detection and tracking. First, we extract moving object edge and foreground object template with the use of the method of edge detection, and then compare the resulting object template with the original image, thus dye the positions with the colour of the corresponding point coordinates in the original image which belongs to the extent of template filled region. Simulation results show that the proposed algorithm has some advantages and robustness and could meet project needs.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

541-545

Citation:

Online since:

January 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ferrari, V. Fevrier, L. Jurie, F.; Schmid, C., Groups of Adjacent Contour Segments for Object Detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(1): 36-51.

DOI: 10.1109/tpami.2007.1144

Google Scholar

[2] Zhan Chaohui; Duan Xiaohui; Xu Shuoyu; Song Zheng; Luo Min; , An Improved Moving Object Detection Algorithm Based on Frame Difference and Edge Detection[C]. ICIG 2007. Fourth International Conference on Image and Graphics, 2007: 519-523.

DOI: 10.1109/icig.2007.153

Google Scholar

[3] Liang Wei; Wang Jianhua; Li Qin., Study on Moving Object Tracking Algorithm in Video Images[C]. ICEMI '07. 8th International Conference on Electronic Measurement and Instruments, 2007: 810-813.

DOI: 10.1109/icemi.2007.4350803

Google Scholar

[4] Zhiguo Qu; Ping Wang; Yinghui Gao; Peng Wang; Zhenkang Shen; , Contour detection based on contextual influences[C]. 2010 IEEE International Conference on Information and Automation (ICIA): 1694-1699.

DOI: 10.1109/icinfa.2010.5512221

Google Scholar

[5] Zhang Xueying, Sun Ying, A feature extraction method based on Gauss wavelet filter and combined wavelets filter in speech recognition[C]. IET Conference on Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07): 233-236.

DOI: 10.1049/cp:20070126

Google Scholar

[6] Wenbing Tao; Hai Jin; Yimin Zhang; Liman Liu; Desheng Wang; , Image Thresholding Using Graph Cuts[J] IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2008, 38(5): 1181-1195.

DOI: 10.1109/tsmca.2008.2001068

Google Scholar

[7] Zhang Xiaoyan; Liu Lingxia; Zhuang Xuchun., An automatic video object segmentation scheme[C]. ISPACS 2007. International Symposium on Intelligent Signal Processing and Communication Systems, 2007: 272-275.

DOI: 10.1109/ispacs.2007.4445876

Google Scholar

[8] Wen, Qiuzi; Fu, Wenxiu; , Moving object contour extraction based on GVF Snake and difference multiplication methods, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 6: 2637-2641.

DOI: 10.1109/fskd.2010.5569815

Google Scholar

[9] Hui Zhang; Goldman, S.A., Image Segmentation using Salient Points-Based Object Templates[C]. 2006 IEEE International Conference on Image Processing, 2006: 765-768.

DOI: 10.1109/icip.2006.312424

Google Scholar

[10] Stein, A.N.; Stepleton, T.S.; Hebert, M.; , Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2008. CVPR 2008: 1-8.

DOI: 10.1109/cvpr.2008.4587477

Google Scholar