Detecting moving objects in airborne forward looking infra-red sequences

Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

Volumn , Issue , 1999, Pages 3-12

  Strehl, Alexander ^a   Aggarwal, J K ^a  

^a The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TARGET RECOGNITION; COMPUTER VISION; IMAGE PROCESSING; IMAGE SEGMENTATION;

ACTION CLASSIFICATIONS; DETECTING MOVING OBJECTS; FORWARD LOOKING; IMAGE SEQUENCE; MOVING PLATFORM; REGION OF INTEREST; REGISTRATION PROCESS; RESIDUAL MOTION;

OBJECT DETECTION;

EID: 85005953298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVBVS.1999.781089     Document Type: Conference Paper

References (24)

1. G. Adiv. Determining three-dimensional motion and structure from optical flow generated by several moving objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(4): 384-400, 1985.
2. J. K. Aggarwal, and N. Nandhakumar. On the computation of motion from sequences of images: A review. Proceedings IEEE, 76: 917-935, August 1989.
3. R. Battiti, E. Amaldi, and C. Koch. Computing optical flow across multiple scales: an adaptive coarse-To-fine strategy. International Journal of Computer Vision, 6(2): 133-145, 1991.
4. J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In Proceedings European Conference on Computer Vision, Berlin, Germany, volume 588 of LNCS, pages 237-252. Springer, May 1992.
5. B. Bhanu, D. E. Dudgeon, E. G. Zelnio, A. Rosenfeld, D. Casasent, and I. S. Reed. Introduction to the special issue on automatic target detection and recognition. IEEE Transactions on Image Processing, 6(1): 1-6, January 1997.
6. M. J. Black, and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding, 63(1): 75-104, January 1996.
7. W. Burger, and B. Bhanu. Estimating 3-D egomotion from perspective image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(11): 1040-1058, November 1990.
8. P. Burt, and E. H. Adelson. The laplacian pyramid as a compact image code. IEEE Transactions on Communication, COM-31(4): 532-540, April 1983.
9. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6): 679-698, November 1986.
10. J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes. Computer Graphics: Principles and Practice. Addison-Wesley, Reading, MA, 1990.
11. B. K. P. Horn, and B. G. Schunk. Determing optical flow. Artificial Intelligence, 17: 185-203, 1981.
12. P. J. Huber. Robust Statistics. Wiley, New York, 1981.
13. M. Irani, and P. Anandan. A unified approach to moving object detection in 2D and 3D scences. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(6): 577-589, June 1998.
14. C. H. Morimoto, D. Dementhon, L. S. Davis, R. Chellappa, and R. Nelson. Detection of independently moving objects in passive video. In Proceedings of Intelligent Vehicles Workshop, Detroit, MI, pages 270-275, September 1995.
15. D. Nair, and J. K. Aggarwal. A focused target segmentation paradigm. In Fourth European Conference on Computer Vision, volume 1, pages 579-588, Cambridge, UK, April 1996.
16. N. Nandhakumar, and J. K. Aggarwal. Multisensory computer vision. Advances in Computers, 34: 60, 1992.
17. J. A. Ratches, C. P. Walters, R. G. Buser, and B. D. Guenther. Aided and automatic target recognition based upon sensory inputs from image forming systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(9): 1004-1019, September 1997.
18. S. Rogers, J. Colombi, C. Martin, J. Gainey, K. Fielding, T. Burns, D. Ruck, M. Kabrisky, and M. Oxley. Neural networks for automatic target recognition. Neural Networks, 8(7-8): 1153-1184, 1995.
19. I. E. Sobel. Camera Models and Machine Perception. PhD thesis, Stanford Univ., 1970.
20. P. H. S. Torr, and A. Zisserman. Concerning bayesian motion segmentation, model averaging, matching and the trifocal tensor. In Fifth European Conference on Computer Vision, Freiburg, Germany, June 1998.
21. B. A. Wandell. Foundations of Vision. Sinauer Associates, Inc., 1995.
22. J. Y. A. Wang, and E. H. Adelson. Spatio-Temporal segmentation of video data. In Proceedings of SPIE on Image and Video Processing II, vol 2182, San Jose, pages 120-131, February 1994.
23. A. H. Wertheim. Motion perception during self-motion: The direct versus the inferential controversy revisited. Behavioral and Brain Sciences, 17: 293-355, 1994.
24. Q. Wu. A correlation-relaxation-labeling framework for computing optical flow-Template matching from a new perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(9): 843-853, September 1995.