Region-based tracking in an image sequence - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 1992

Region-based tracking in an image sequence


This paper addresses the problem of motion tracking in a sequence of monocular images. We want to establish and maintain the successive positions of objects in a sequence of images. The use of regions as primitives for tracking enables us to directly handle consistent object-level entities. On one hand, a motion-based segmentation process based on normal flows and first order motion models provides us with instantaneous measurements of the geometry of each region present in the segmented images. Shape and position of each projected object are estimated with a recursive algorithm along the sequence. On the other hand, a motion filter based on a multiresolution estimation scheme and temporal filtering generates reliable estimates of the motion parameters of each region. The proposed approach relies on adequate modeling and measurement of the geometry and kinematics of object projections. In particular no 3-D information is required. It realizes a good trade-off between tractability and efficiency. Occlusion situations can be handled. We have carried out experiments on both sequences of synthetic and real images depicting complex outdoor scenes to illustrate the performance of this new method.


Other [cs.OH]
Fichier principal
Vignette du fichier
RR-1723.pdf (2.26 Mo) Télécharger le fichier

Dates and versions

inria-00076962 , version 1 (29-05-2006)


  • HAL Id : inria-00076962 , version 1


François Meyer, Patrick Bouthemy. Region-based tracking in an image sequence. [Research Report] RR-1723, INRIA. 1992. ⟨inria-00076962⟩
213 View
163 Download


Gmail Facebook Twitter LinkedIn More