Optical flow object detection, motion estimation, and tracking on moving vehicles using wavelet decompositions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7694, Issue , 2010, Pages

  Dessauer, Michael P ^a   Dua, Sumeet ^a  

^a Louisiana Tech University   (United States)

Author keywords

Automatic target recognition; Motion detection; Motion estimation; Phase based optical flow; Target tracking; Vehicle tracking; Wavelet decomposition

Indexed keywords

AERIAL VEHICLE; COMPUTATION TIME; DETECTION AND ESTIMATION; FEATURE SELECTION; FEATURE-BASED TRACKING; IMAGE FRAMES; INTENSITY-BASED; LOW RESOLUTION; MOTION DETECTION; MOVING OBJECTS; MOVING VEHICLES; OBJECT DETECTION; OBJECT TRACKING ALGORITHM; OPERATIONAL CONDITIONS; OPTICAL FLOW ESTIMATION; OPTICAL FLOW METHODS; PHASE CHANGE; PHASE-BASED OPTICAL FLOW; PROCESSING STEPS; SPATIAL INFORMATIONS; TRACKING ACCURACY; TRACKING METHOD; VEHICLE TRACKING; WAVELET APPROXIMATIONS; WAVELET COEFFICIENTS;

AUTOMATIC TARGET RECOGNITION; ESTIMATION; FEATURE EXTRACTION; INTEROPERABILITY; MOTION ESTIMATION; OBJECT RECOGNITION; OPTICAL FLOWS; SENSORS; TARGETS; TRACKING (POSITION); VEHICLES; WAVELET DECOMPOSITION;

TARGET TRACKING;

EID: 77953805207     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.853281     Document Type: Conference Paper

References (21)

1. Shi Jianbo and Tomasi Carlo: Good features to track. IEEE Conference on Computer and Pattern Recognition, Seattle, USA, (1994) 593-600.
2. Lowe, David G. "Distinctive Image Features from Scale-Invariant Keypoints." International Journal of Computer Vision 60 (November 2004): 91-110.
3. Yao, F. H., Sekmen, A., Malkani, M.: A Novel Method for Real-time Multiple Moving Targets Detection from Moving IR Camera, Proc. of ICPR 2008.
4. Allen, Thomas G. "Multiscale approaches to moving target detection in image sequences." Optical Engineering 33 (1994): 2248+.
5. Horn B.K.P (1986) Robot Vision. MIT Press, Cambridge.
6. B.K.P. Horn and B.G. Schunck. Determining optical flow. Technical Report A.I. Memo 572, Massachusetts Institute of Technology, 1980.
7. Barron, J. L., D. J. Fleet, and S. S. Beauchemin. "Performance of optical flow techniques." International Journal of Computer Vision 12 (February 1994): 43-77.
8. Lucas, B. D. and T. Kanade. "An Iterative Image Registration Technique with an Application to Stereo Vision." Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI 1981 (1981): 674- 679.
9. D. J. Fleet and A. D. Jepson, "Computation of component image velocity from local phase information, " Int. J. Comput. Vis. 5 (1990): 77-104.
10. K. Mikolajczyk and C. Schmid. "Scale & affine invariant interest point detectors." International Journal of Computer Vision 1(2004):63.86.
11. Schmid, Cordelia and Roger Mohr. "Local Grey value Invariants for Image Retrieval." IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (1997): 530-535.
12. Mikolajczyk, K. and C. Schmid. "A performance evaluation of local descriptors." Pattern Analysis and Machine Intelligence, IEEE Transactions on 27 (2005): 1615-1630.
13. Tomasi, C., and T. Kanade, "Detection and Tracking of Point Features, " Technical Report, CMU-CS-91-132, Carnegie Mellon University, April 1991.
14. Lim, Jae S., Two-Dimensional Signal and Image Processing, Englewood Cliffs, NJ, Prentice Hall, 1990, p. 548, equations 9.44-9.46.
15. Gonzalez, Woods. Digital Image Processing. Prentice Hall, 2002.
16. L. F. Chen, H. Y. M. Liao, and J. C. Lin, "Wavelet-based optical flow estimation, " IEEE Trans. Circuits Syst. Video Technol. 12 (Feb. 2002): 1-12.
17. S. Mallat, A Wavelet Tour of Signal Processing. 1999- Academic Press, New York.
18. J. Bouguet. Pyramidal implementation of the Lucas-Kanade feature tracker: description of the algorithm. Technical report, OpenCV Document, Intel Microprocessor Research Labs, 2000.
19. Gautama, T. and M. A. Van Hulle. "A phase-based approach to the estimation of the optical flow field using spatial filtering." Neural Networks, IEEE Transactions on 13 (2002): 1127-1136.
20. M. M. Van Hulle, "A goal programming network for linear programming, "Biol. Cybern. 65(1991): 243-252.
21. Columbus large image format (CLIF) dataset. https://www.sdms.afrl.af.mil/ datasets/clif2007/.