Automatic target retrieval in a video-surveillance task
Pieri G., Moroni D.
Infrared Vision Image Processing Hierarchical Neural Networks Content Base Retrieval
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.
Source: First International Workshop on Image Mining. Theory and Applications, pp. 113–121, Funchal, Madeira, Portugal, 22-23 January 2008
Publisher: INSTICC Press - Institute for Systems and Technologies of Information, Control and Communication, Setubal, PRT
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@inproceedings{oai:it.cnr:prodotti:91826,
title = {Automatic target retrieval in a video-surveillance task},
author = {Pieri G. and Moroni D.},
publisher = {INSTICC Press - Institute for Systems and Technologies of Information, Control and Communication, Setubal, PRT},
booktitle = {First International Workshop on Image Mining. Theory and Applications, pp. 113–121, Funchal, Madeira, Portugal, 22-23 January 2008},
year = {2008}
}
0000-0002-5175-5126