Active drift correction template tracking algorithm

This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves synchronously object tracking and drift correction, and save half running time. For the template drift problem during long sequential object t...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2012 19th IEEE International Conference on Image Processing s. 397 - 400
Hlavní autoři: Baojie Fan, Yingkui Du, Yang Cong, Yandong Tang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2012
Témata:
ISBN:1467325341, 9781467325349
ISSN:1522-4880
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves synchronously object tracking and drift correction, and save half running time. For the template drift problem during long sequential object tracking, we introduce the active drift correction term into inverse compositional affine image alignment algorithm. This operation can avoid the template drift before it occurs, or reduce the drift after it happens. The total energy function consists of two terms: the tracking term and the active drift correction term. By minimizing the total energy function with the steepest descent algorithm, the proposed algorithm can decrease the accumulative tracking error, and prevent the drift during the tracking process effectively. Various object tracking experiments show that our method has super performance than the passive drift correction algorithm in [8].
ISBN:1467325341
9781467325349
ISSN:1522-4880
DOI:10.1109/ICIP.2012.6466879