PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Benvenuti M., Colantonio S., Di Bono M. G., Pieri G., Salvetti O. Tracking of Moving Targets in Video Sequences. In: WSEAS Transaction on Systems, vol. Vol. 4 (n. 4) pp. 359 - 364. WSEAS, 2005.
 
 
Abstract
(English)
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.
Subject Target tracking
Hierarchical Artificial Neural Networks
Image Processing
Object recognition
I.5.4 Applications
I.4.8 Scene Analysis
I.4.6 Segmentation
I.5.5 Implementation


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