A real-time region-based motion segmentation using adaptive thresholding and K-means clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2256, Issue , 2001, Pages 213-224

  Kim, Jong Bae ^a   Park, Hye Sun ^a   Park, Min Ho ^a   Kim, Hang Joon ^a  

^a Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE SEGMENTATION; MOTION TRACKING;

ADAPTIVE THRESHOLDING; COMPUTATION TIME; COMPUTATIONAL LOADS; MOTION SEGMENTATION; OCCLUSION PROBLEMS; THRESHOLD-VALUE; VIDEO MONITORING SYSTEMS; WEIGHTED K-MEANS;

K-MEANS CLUSTERING;

EID: 54949143168     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45656-2_19     Document Type: Conference Paper

References (19)

1. Haritaoglu, I., Harwood, D., Davis, L. S.: Real-Time Surveillance of People and Their Activities. IEEE Trans. Pattern Analysis and Machine Intelligence. 22(8) (2000) 809-830
2. Kim, J. B., Lee, C. W., Hwang, S. W., Kim, H. J.: A Real-Time Moving Object Detection for Video Monitoring System. in Proc. ITC-CSCC. 1 (2001) 454-457
3. Kim J. B., Lee, C. W., Yun T. S., Lee, K. M., Kim, H. J.: Wavelet-based Vehicle Tracking for Automatic Traffic Surveillance. in Proc. IEEE Tencon. 1 (2001) 313-316
4. Sukthankar, R., Stockton, R.: Argues: The Digital Doorman. IEEE Trans. Intelligent System. 16(2) (2001) 14-19
5. Irani, M., Peleg, S.: Motion analysis for image enhancement: Resolution, occlusion, and transparency. Int. Journal of Vis. Comm. Image Rep. 4(4) (1993) 324-335
6. Kim, E. Y., Park, S. H., Kim, H. J.: A Genetic Algorithm based Segmentation of Markov Random Field Modeled Images. IEEE Signal Processing Letters. 7(11) (2000) 301-303
7. Gelgon M., Bouthemy P.: Video Segmentation by MAP Labeling of Watershed Segments. IEEE Trans. Pattern Analysis and Machine Intelligence 23(3) (2001) 326-332
8. Andrey, P., Tarroux, P.: Unsupervised segmentation of markov random field modeled textured images using selectionist relaxation. IEEE Trans. Pattern Analysis and Machine Intelligence. 20(3) (1998) 252-262
9. Bors, A. G., Pitas, I.: ‘Optical Flow Estimation and Moving Object Segmentation Based on Median Radial Basis Function Network. IEEE Trans. Image Processing. 7(5) (1998) 693-702
10. Konard, J., and Dubois, E.: Bayesian Estimation of Motion Vector Fields. IEEE Trans. Pattern Analysis and Machine Intelligence. 14(9) (1992) 910-927
11. Wang, J. Y. A., Adelson, E. H.: Representing moving images with layer. IEEE Trans. Image processing. 3(5) (1994) 625-638
12. Betke, M., Haritaoglu, E., Davis, L. S.: Multiple Vehicle Detection and Tracking in Hard Real-Time. in Proc. IEEE Intelligent Vehicles Symposium. (1996) 351-356
13. Smith, S. M., Brady, J. M.: ASSET-2: Real time motion segmentation and shape tracking. IEEE Trans. Pattern Analysis and Machine Intelligence. 17(8) (1995) 814-820
14. Haag, M., Nagel, H. -H.: Combination of Edge Element and Optical Flow Estimates for 3D-Model-Based Vehicle Tracking in Traffic Image Sequences. Int. Journal of Computer Vision. 35(3) (1999) 295-319
15. Nariman, H., Alireza, M., Neil, B.: Automatic Thresholding for Change Detection in Digital Video. in Proc. SPIE. 4067 (2000) 133-142
16. Gonzalez, R. C., Woods, R. E.: Digital Image Processing. Addision-Wesley, Reading, Massachusetts.
17. Salaoda, S., Shisikui, Y., Tanaka, Y., Yuyama, I.: Image segmentation by integration approach using initial dependence of k-means algorithm. in Proc. Picture Coding Symp.’97. Berlin. Germany. (1997) 265-269
18. Tounad, J., Gonalez, R. C.: Pattern Recognition Principles. Reading. MA: Addison-Wesley (1974)
19. Badenas, J., Bober, M., and Pla, F.: Segmenting Traffic Scenes from Grey Level and Motion Information. Pattern Analysis & Applications. 4 (2001) 28-38