Tracking of moving targets in video sequences

Authors:
Marco Benvenuti;Sara Colantonio;Maria Grazia Di Bono;Gabriele Pieri;Ovidio Salvetti
Affiliations:
TD Group SpA, Pisano, Italy;Institute of Information Science and Technologies, CNR, 'Signals and Images' Laboratory, Pisa, Italy;Institute of Information Science and Technologies, CNR, 'Signals and Images' Laboratory, Pisa, Italy;Institute of Information Science and Technologies, CNR, 'Signals and Images' Laboratory, Pisa, Italy;Institute of Information Science and Technologies, CNR, 'Signals and Images' Laboratory, Pisa, Italy
Venue:
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Year:
2005

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Abstract

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.