Tracking of moving targets in video sequences
Benvenuti M., Colantonio S., Di Bono M. G., Pieri G., Salvetti O.
Applications Scene Analysis Segmentation Implementation Object recognition Image Processing Target tracking Hierarchical Artificial Neural Networks
A research has been carried out finalised to the definition of a methodology useful to detect and track moving targets in video sequences. Algorithms performing this task have been also developed for real time monitoring and surveillance purposes. Due to deformations occurring in the appearance of the target in the videos, a Hierarchical Artificial Neural Network (HANN) has been used to recognize target occlusion or masking, and to increase the normal tracking performance. Preliminary results are presented regarding both identification and tracking of animal moving at night in an open environment, and the surveillance of known scenes for unauthorized access control.
Source: WSEAS transactions on systems 4 (2005): 359–364.
Publisher: WSEAS Press, Athens
Back to previous page
@article{oai:it.cnr:prodotti:68321,
title = {Tracking of moving targets in video sequences},
author = {Benvenuti M. and Colantonio S. and Di Bono M. G. and Pieri G. and Salvetti O.},
publisher = {WSEAS Press, Athens },
journal = {WSEAS transactions on systems},
volume = {4},
pages = {359–364},
year = {2005}
}
0000-0003-2022-0804