Real-time on-line video object segmentation based on motion detection without background construction

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 4, 2011, Pages 1845-1860

  Hu, Wu Chih ^a  

^a NATIONAL PENGHU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Background construction; Motion detection Gradient variation detection; Video object segmentation

Indexed keywords

AVERAGE SENSITIVITIES; BACKGROUND CONSTRUCTION; CONNECTED COMPONENT LABELING; EXECUTION TIME; FOREGROUND EXTRACTION; MORPHOLOGICAL PROCESSING; MOTION DETECTION; MOVING OBJECT MASKS; MOVING OBJECTS; NOISE ELIMINATION; OBJECT BOUNDARIES; OBJECT REGION; OBJECTIVE EVALUATION; SPATIAL ACCURACY; VIDEO OBJECT SEGMENTATION; VIDEO SEQUENCES;

MOTION COMPENSATION;

IMAGE SEGMENTATION;

EID: 79952567345     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. T. Sikora, The MPEG-4 video standard verification model, IEEE Trans, on Circuits System Video Technology, vol.7, pp.19-31, 1997. (Pubitemid 127765184)
2. C. R. Huang, H. P. Lee and C. S. Chen, Shot change detection via local keypoint matching, IEEE Trans, on Multimedia, vol.10, no.6, pp.1097-1108, 2008.
3. Z. Musa and J. Watada, Video tracking system: A survey, ICIC Express Letters, vol.2, no.1, pp.65-72, 2008.
4. B. Sugandi, H. Kim, J. K. Tan and S. Ishikawa, Real time tracking and identification of moving persons by using a camera in outdoor environment, International Journal of Innovative Computing, Information and Control, vol.5, no.5, pp.1179-1188, 2009.
5. Y.-T. Wang, M.-C. Lin, R.-C. Ju and Y.-W. Huang, Image feature initialization for SLAM and moving object detection, ICIC Express Letters, vol.3, no.3(A), pp.477-482, 2009.
6. H.-X. Wang, Z.-M. Lu, Y.-N. Li and S.-H. Sun, A compressed domain multipurpose video watermarking algorithm using vector quantization, International Journal of Innovative Computing, Information and Control, vol.5, no.5, pp.1441-1450, 2009.
7. G. Zhu, Q. Huang, C. Xu, L. Xing, W. Gao and H. Yao, Human behavior analysis for highlight ranking in broadcast racket sports video, IEEE Trans, on Multimedia, vol.9, no.6, pp.1167-1181, 2007. (Pubitemid 47460398)
8. L. Wu and X. Meng, A robust object segmentation method, International Journal of Innovative Computing, Information and Control, vol.4, no.11, pp.3059-3065, 2008.
9. T.-Y. Chen, T.-H. Chen, D.-J. Wang and Y.-C. Chiou, Real-time video object segmentation algorithm based on change detection and background updating, International Journal of Innovative Computing, Information and Control, vol.5, no.7, pp.1797-1810, 2009.
10. M. Kim, J. G. Jeon, J. S. Kwak, M. H. Lee and C. Ahn, Moving object segmentation in video sequences by user interaction and automatic object tracking, Image and Vision Computing, vol.19, no.5, pp.245-260, 2001. (Pubitemid 32160650)
11. C. Gu and M.-C. Lee, Semiautomatic segmentation and tracking of semantic video objects, IEEE Trans, on Circuits System Video Technology, vol.8, pp.572-584, 1998. (Pubitemid 128743724)
12. G. Zhang and W. Zhu, Automatic video object segmentation by integrating object registration and background constructing technology, Proc. of the 2006 International Conference on Communications, Circuits and Systems, Guilin, China, pp.437-441, 2006. (Pubitemid 351307073)
13. E. J. Carmona, J. Martínez-Cantos and J. Mira, A new video segmentation method of moving objects based on blob-level knowledge, Pattern Recognition Letters, vol.29, pp.272-285, 2008. (Pubitemid 350250910)
14. D.-S. Lee, Effective Gaussian mixture learning for video background subtraction, IEEE Trans, on Pattern Analysis and Machine Intelligence, vol.27, no.5, pp.827-832, 2005. (Pubitemid 40608416)
15. C.-Y. Chang, Z.-Y. Tsai and C.-H. Li, A figure extraction and synthesis system by learning vector quantization neural network, Proc. of the 3rd International Conference on Innovative Computing, Information and Control, Dalian, China, pp.324-324, 2008.
16. Y. Wang, K.-F. Loe, T. Tan and J.-K. Wu, Spatiotemporal video segmentation based on graphical models, IEEE Trans, on Image Processing, vol.14, no.7, pp.937-947, 2005. (Pubitemid 40889988)
17. M.-Y. Liu, Q.-H. Dai, X.-D. Liu and G.-H. Er, Automatic extraction of initial moving object based on advanced feature & video analysis, Proc. of the 2005 International Conference on Visual Communication and Image Processing, Beijing, China, pp.160-167, 2005.
18. B. Leng and Q. Dai, Video object segmentation based on accumulative frame difference, Proc. of the Picture Coding Symposium, Lisboa, Portugal, 2007.
19. S.-Y. Chien, Y.-W. Huang, B.-Y. Hsieh, S.-Y. Ma and L.-G. Chen, Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques, IEEE Trans, on Circuits and System for Video Technology, vol.6, no.5, pp.732-748, 2004.