PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Pieri G., Moroni D. Automatic target retrieval in a video-surveillance task. In: First International Workshop on Image Mining. Theory and Applications (Funchal, Madeira, Portugal, 22-23 January 2008). Proceedings, pp. 113 - 121. I. Gourevich, H. Niemann and O. Salvetti (eds.). INSTICC, 2008.
 
 
Abstract
(English)
In this paper we face the automatic target search problem. While performing an object tracking task, we address the problem of identifying a previously selected target when it is lost due to masking, occlusions, or quick and unexpected movements. Firstly a candidate target is identified in the scene through motion detection techniques, subsequently using a semantic categorization and content based image retrieval techniques, the candidate target is identified whether it is the correct one (i.e. the previous lost target), or not. Content Based Image Retrieval serves as support to the search problem and is performed using a reference data base which was populated a priori.
Subject Infrared Vision
Image Processing
Hierarchical Neural Networks
Content Base Retrieval
I.4.8 Scene Analysis
I.4.6 Segmentation
I.4.10 Image Representation
I.4.9 Applications


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional