Abstract
This paper presents a generic approach for object tracking and identification in video sequences, called SAP. The object is described with two image primitives: first, its content is described with Points of interest that are automatically extracted and characterized according to an appearance-based model. Second, the object’s envelope is described with a Snake. The originality of SAP consists in a complementary use of these primitives: the snake allows to reduce the points extraction to a limited area, and the point description is efficiently exploited during the snake tracking. Such a characterization is robust to wide occlusions and can be use for object identification and localization purposes. SAP has been implemented with the aim of achieving near real-time performance.
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References
Blake, A., Isard, M.: Active Contours. Springer, Heidelberg (1998)
Castellano, G., Boyce, J., Sandler, M.: Regularized cdwt optical flow applied to moving-target detection in IR imagery. Machine Vision and Applications 11(6), 277–288 (2000)
Chesnaud, C., Réfrégier, P., Boulet, V.: Statistical region snake-based segmentation adapted to different physical noise models. IEEE PAMI 21(11), 1145–1157 (1999)
Chetverikov, D., Verestóy, J.: Tracking feature points: A new algorithm. In: Proc. International Conf. on Pattern Recognition, pp. 1436–1438 (1998)
Florack, L.M.J., ter Haar Romeny, B.M., Koenderink, J.J., Viergever, M.A.: General intensity transformations and differential invariants. Journal of Mathematical Imaging and Vision 4(2), 171–187 (1994)
Gouet, V., Boujemaa, N.: Object-based queries using color points of interest. In: IEEE Workshop CBAIVL, Kauai, Hawaii, USA, pp. 30–36 (2001)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference, pp. 147–151 (1988)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contours models. International Journal of Computer Vision, 321–331 (1988)
Kim, M., Jeon, J.G., Kwak, J.S., Lee, M.H., Ahn, C.: Moving object segmentation in video sequences by user interaction and automatic object tracking. IVC 19(5), 245–260 (2001)
Koenderink, J.J., Van Doorn, A.J.: Representation of local geometry int the visual system. Biological Cybernetics 55, 367–375 (1987)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Accepted for publication int the International Journal of Computer Vision (2004)
Megret, R., Jolion, J.M.: Tracking scale-space blobs for video description. IEEE Multimedia 9(2), 34–43 (2002)
Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. Intl. Computer Vision and Pattern Recognition (2003)
Mikolajczyk, K., Schmid, C.: Indexing based on scale invariant interest points. In: ICCV 2001, Vancouver, Canada (July 2001)
Montesinos, P., Gouet, V., Deriche, R.: Differential Invariants for Color Images. In: ICPR 1998, Brisbane, Australia (1998)
Perez, P., Hue, C., Vermaak, J., Gangnet, M.: Color-based probabilistic tracking. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 661–675. Springer, Heidelberg (2002)
Salari, V., Sethi, I.K.: Feature point correspondence in the presence of occlusion. IEEE PAMI 12(1), 56–73 (1990)
Schmid, C., Mohr, R.: Local grayvalue invariants for image retrieval. IEEE PAMI 19(5), 530–534 (1997)
Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of interest point detectors. International Journal of Computer Vision 37(2), 151–172 (2000)
Sethi, I.K., Jain, R.: Finding trajectories of feature points in a monocular image sequence. IEEE PAMI 9, 56–73 (1987)
Veenman, C.J., Hendriks, E.A., Reinders, M.J.T.: A fast and robust point tracking algorithm. In: International Conference in Images Processing (1998)
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Lameyre, B., Gouet, V. (2004). Object Tracking and Identification in Video Streams with Snakes and Points. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_9
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DOI: https://doi.org/10.1007/978-3-540-30543-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23985-7
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