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Pregled bibliografske jedinice broj: 302781

Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support


Šegvić, Siniša; Remazeilles, Anthony; Chaumette, François
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support // Lecture notes in computer science, 3952 (2006), 112-124 doi:10.1007/11744047_9 (međunarodna recenzija, članak, znanstveni)


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Naslov
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support

Autori
Šegvić, Siniša ; Remazeilles, Anthony ; Chaumette, François

Izvornik
Lecture notes in computer science (0302-9743) 3952 (2006); 112-124

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
tracking of point features

Sažetak
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requiring that the current features nicely warp towards their reference appearances. The procedure recommends focusing on features projected from planar 3D patches (planar features), by enforcing a conservative threshold on the residual of the difference between the warped current feature and the reference. However, in some important contexts, there are many features for which the planarity assumption is only partially satisfied, while the true planar features are not so abundant. This is especially true when the motion of the camera is mainly translational and parallel to the optical axis (such as when driving a car along straight sections of the road), which induces a permanent increase of the apparent feature size. Tracking features containing occluding boundaries then becomes an interesting goal, for which we propose a multi-scale monitoring solution striving to maximize the lifetime of the feature, while also detecting the tracking failures. The devised technique infers the parts of the reference which are not pro- jected from the same 3D surface as the patch which has been consistently tracked until the present moment. The experiments on real sequences taken from cars driving through urban environments show that the technique is effective in increasing the average feature lifetimes, especially in sequences with occlusions and large photometric variations.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
0036025

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Siniša Šegvić (autor)

Poveznice na cjeloviti tekst rada:

doi www.zemris.fer.hr

Citiraj ovu publikaciju:

Šegvić, Siniša; Remazeilles, Anthony; Chaumette, François
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support // Lecture notes in computer science, 3952 (2006), 112-124 doi:10.1007/11744047_9 (međunarodna recenzija, članak, znanstveni)
Šegvić, S., Remazeilles, A. & Chaumette, F. (2006) Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support. Lecture notes in computer science, 3952, 112-124 doi:10.1007/11744047_9.
@article{article, author = {\v{S}egvi\'{c}, Sini\v{s}a and Remazeilles, Anthony and Chaumette, Fran\c{c}ois}, year = {2006}, pages = {112-124}, DOI = {10.1007/11744047\_9}, keywords = {tracking of point features}, journal = {Lecture notes in computer science}, doi = {10.1007/11744047\_9}, volume = {3952}, issn = {0302-9743}, title = {Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support}, keyword = {tracking of point features} }
@article{article, author = {\v{S}egvi\'{c}, Sini\v{s}a and Remazeilles, Anthony and Chaumette, Fran\c{c}ois}, year = {2006}, pages = {112-124}, DOI = {10.1007/11744047\_9}, keywords = {tracking of point features}, journal = {Lecture notes in computer science}, doi = {10.1007/11744047\_9}, volume = {3952}, issn = {0302-9743}, title = {Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support}, keyword = {tracking of point features} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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