ENHANCED TARGET TRACKING BASED ON MEAN SHIFT ALGORITHM FOR SATELLITE IMAGERY

Sarabjit Kaur, Sukhjinder Kaur

Abstract: Target tracking in high resolution satellite images is challenging task for computer vision field. In this paper we have proposed a mean shift algorithm based enhanced target tracking system for high resolution satellite imagery. In proposed tracking algorithm, Target modeling is done using spectral features of target object i.e. Mean & Energy density function. Feature Vector space with minimum Euclidean Distance is used for predicting next possible position of target object in consecutive frames. Proposed tracking algorithm has been tested using two high resolution databases i.e. Harbor & Airport region database acquired by WorldView-2 satellite at different times. Recall, Precision & F1 score etc. performance parameters are also calculated for showing the tracking ability of the proposed method in real-time applications and are compared with the results of Regional Operator Design based tracking algorithm proposed in [1]. The results show that our proposed method gives relatively better performance than the other tracking algorithms used in satellite imagery.

Keywords: Target tracking, Mean shift algorithm, Energy density function, Feature Vector Space, Frame

DOI: https://doi.org/10.15623/ijret.2013.0212079