The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 79–82, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-79-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 79–82, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-79-2017

  10 May 2017

10 May 2017

DYNAMIC KEYPOINT-BASED ALGORITHM OF OBJECT TRACKING

A. I. Morgacheva1,2, V. A. Kulikov2, and V. P. Kosykh2 A. I. Morgacheva et al.
  • 1Novosibirsk State University, Novosibirsk
  • 2Institute of Automation and Electrometry SB RAS, Novosibirsk

Keywords: Tracking , Keypoints, Dynamic object model, FRiS

Abstract. The model of the observed object plays the key role in the task of object tracking. Models as a set of image parts, in particular, keypoints, is more resistant to the changes in shape, texture, angle of view, because local changes apply only to specific parts of the object. On the other hand, any model requires updating as the appearance of the object changes with respect to the camera. In this paper, we propose a dynamic (time-varying) model, based on a set of keypoints. To update the data this model uses the algorithm of rating keypoints and the decision rule, based on a Function of Rival Similarity (FRiS). As a result, at the test set of image sequences the improvement was achieved on average by 9.3% compared to the original algorithm. On some sequences, the improvement was 16% compared to the original algorithm.