𝔖 Bobbio Scriptorium
✦   LIBER   ✦

CamShift guided particle filter for visual tracking

✍ Scribed by Zhaowen Wang; Xiaokang Yang; Yi Xu; Songyu Yu

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
479 KB
Volume
30
Category
Article
ISSN
0167-8655

No coin nor oath required. For personal study only.

✦ Synopsis

In this article, a novel algorithm -CamShift guided particle filter (CAMSGPF) -is proposed for tracking object in video sequence. CamShift is incorporated into the probabilistic framework of particle filter as an optimization scheme for proposal distribution. Meanwhile, in the context of particle filter, the scale adaptation of CamShift is improved and the computation complexity is reduced. It is demonstrated through several real tracking tasks that the new method performs better than baseline trackers in both tracking robustness and computational efficiency.

πŸ“œ SIMILAR VOLUMES

Visual contour tracking based on particl
Visual contour tracking based on particle filters
✍ Peihua Li; Tianwen Zhang; Arthur E.C. Pece πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 826 KB

The Condensation algorithm, developed for visual tracking, is a variant of particle filter. In the sampling stage of Condensation, no use is made of the information from the current frame in the image sequence. As a consequence, the algorithm requires a large number of particles and is computational