Feature point tracking for incomplete trajectories

Computing (Vienna/New York)

Volumn 62, Issue 4, 1999, Pages 321-338

  Chetverikov, Dmitry ^a   Verestóy, Judit ^a  

^a INSTITUTE FOR COMPUTER SCIENCE AND CONTROL   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS;

FEATURE POINT TRACKING;

OBJECT RECOGNITION;

EID: 0032686937     PISSN: 0010485X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s006070050027     Document Type: Article

References (10)

1. Jähne, B.: Digital image processing. Berlin Heidelberg New York Tokyo: Springer, 1997.
2. Chetverikov, D., Lerch, A.: A matching algorithm for motion analysis of dense populations. Pattern Rec. Lett. 11, 743-749 (1990).
3. Courtney, J. D.: Automatic video indexing via object motion analysis. Pattern Rec. 30, 607-625 (1997).
4. Hwang, V.: Tracking feature points in time-varying images using an opportunistic selection approach. Pattern Rec. 22, 247-256 (1989).
5. Okamoto, K., Nishio, S., Saga, T., Kobayashi, T.: Standard images for particle imaging velocimetry. http://sap.gen.u-tokyo.ac.jp/image-e.html.
6. Rangarajan, K., Shah, M.: Establishing motion correspondence. CVGIP: Image Understand. 54, 56-73 (1991).
7. Salari, V., Sethi, I. K.: Feature point correspondence in the presence of occlusion. IEEE Trans. Pattern Anal. Mach. Intelligence 12, 87-91 (1990).
8. Sethi, I. K., Jain, R.: Finding trajectories of feature points in a monocular image sequence. IEEE Trans. Pattern Anal. Mach. Intell. 9, 56-73 (1987).
9. nd Workshop of the Austrian Pattern Recognition Group, pp. 255-263. Österreichische Computer Gesellschaft, 1998.
10. Verestóy, J., Chetverikov, D.: Experimental comparative evaluation of feature point tracking algorithms. In: Proc. Workshop on Evaluation and Validation of Computer Vision Algorithms. Kluwer series in Computational Imaging and Vision, 1998 (submitted).