Target tracking in airborne forward looking infrared imagery

Image and Vision Computing

Volumn 21, Issue 7 SPEC., 2003, Pages 623-635

  Yilmaz, Alper ^a   Shafique, Khurram ^a   Shah, Mubarak ^a  

^a University of Central Florida   (United States)

Author keywords

FLIR imagery; Global motion compensation; Mean shift; Target detection; Target tracking

Indexed keywords

COMPUTATIONAL METHODS; DATA REDUCTION; INFRARED IMAGING; MOTION COMPENSATION; TEXTURES;

INFRARED IMAGERY;

RADAR TARGET RECOGNITION;

EID: 0037715355     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(03)00059-3     Document Type: Conference Paper

References (25)

1. Chen J.Y., Reed I.S. A detection algorithm for optical targets in clutter. IEEE Transactions on Aerospace and Electronic Systems. 23:(1):1987;46-59.
2. Longmire M.S., Takken E.H. Lms and matched digital filters for optical clutter suppression. Applied Optics. 27:(6):1988;1141-1159.
3. Shekarforoush H., Chellappa R. A multi-fractal formalism for stabilization, object detection and tracking in flir sequences, In: IEEE International Conference on Image Processing. In: IEEE International Conference on Image Processing. vol. 3:2000.
4. Davies D., Palmer P., Mirmehdi, Detection and tracking of very small low contrast objects. In: Ninth British Machine Vision Conference, September. 1998.
5. Strehl A., Aggarwal J.K. Detecting moving objects in airborne forward looking infra-red sequences. Machine Vision Applications Journal. 11:2000;267-276.
6. Braga-Neto U., Goutsias J. Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators. In: 33rd Conference of Information Sciences and Systems, March. 1999.
7. Comaniciu D., Ramesh V., Meer P. Real-time tracking of non-rigid objects using mean shift. In: IEEE Conference on Computer Vision and Pattern Recognition. vol. 2:2000.
8. Bergen J.R., Anandan P., Hanna K.J., Hingorani R. Hierarchical model-based motion estimation. In: Europen Conference on Computer Vision. 1992.
9. Lim E.T., Deshpande S.D., Chan C.W., Venkateswarlu R. Adaptive spatial filtering techniques for the detection of targets in infrared imaging seekers. In: Proceedings of SPIE. vol. 4025:2000.
10. Tzannes A.P., Brooks D.H. Detection of point targets in image sequences by hypothesis testing: a temporal test first approach, In: Proceedings of ICASSP. 1999.
11. Lim Y.W., Lee S.U. On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques. Pattern Recognition Journal. 23:(9):1990;935-952.
12. Saber E., Tekalp A.M., Bozdagi G. Fusion of color and edge information for improved segmentation and edge linking. Image and Vision Computing Journal. 15:1997;935-952.
13. Strang G., Nguyen T. Wavelets and Filter Banks. 1996;Cambridge Press, Wellesley.
14. K.I. Laws, Textured image segmentation, PhD Thesis, Electrical Eng., University of Southern California, January 1980.
15. Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11:(7):1989;674-693.
16. Freeman W.T., Adelson E.H. The design and use of steerable filters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13:(9):1991;891-906.
17. Jepson A.D., Fleet D.J., El-Maraghi T.F. Robust online appereance models for visual tracking. In: IEEE Conference on Computer Vision and Pattern Recognition. vol. 1:2001.
18. Fukunaga K. Introduction to Statistical Pattern Recognition. 1990;Academic Press.
19. Yilmaz A., Shah M. Automatic feature detection and pose recovery for faces. In: Asian Conference on Computer Vision, January. 2002.
20. Cheng Y. Mean shift, mode seeking, and clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17:1995;790-799.
21. Fukunaga K., Hostetler L.D. The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory. IT-21:1975;32-40.
22. Yilmaz A., Shafique K.H., Lobo N., Li X., Olson T., Shah M. Target-tracking in flir imagery using mean-shift and global motion compensation, In: IEEE CVPR Workshop on Computer Vision Beyond Visible Spectrum. 2001.
23. Daugman J.G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Optical Society of America. 2:1985;1160-1169.
24. Braithwaite R.N., Bhanu B. Hierarchical gabor filters for object detection in infrared images. In: IEEE Conference on Computer Vision and Pattern Recognition. 1994.
25. Irani M., Anandan P. Video indexing based on mosaic representations. Proceedings of IEEE. 86:(5):1998;905-921.