Title | ||
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On The Detection Of Abandoned Objects With A Moving Camera Using Robust Subspace Recovery And Sparse Representation |
Abstract | ||
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We consider the application of sparse-representation and robust-subspace-recovery techniques to detect abandoned objects in a target video acquired with a moving camera. In the proposed framework, the target video is compared to a previously acquired reference video, which is assumed to have no abandoned objects. The detection method explores the low-rank similarities among the reference and target videos, as well as the sparsity of the differences between the two video sequences caused by the unexpected object in the target video. A three-step procedure is then presented adapting a previous low-rank and sparse image representation to the problem at hand. Performance of the proposed technique is verified using a large video database for abandoned-object detection in a cluttered environment. Results demonstrate the technique effectiveness even in the presence of some significant camera shake along its trajectory. |
Year | Venue | Field |
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2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | Computer vision,Video post-processing,Subspace topology,Pattern recognition,Computer science,Motion compensation,Sparse approximation,Robustness (computer science),Video tracking,Sparse image,Artificial intelligence,Sparse matrix |
DocType | ISSN | Citations |
Conference | 1520-6149 | 2 |
PageRank | References | Authors |
0.49 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eric Jardim | 1 | 7 | 1.93 |
Xiao Bian | 2 | 7 | 1.61 |
Eduardo A. B. da Silva | 3 | 238 | 46.50 |
Sergio L. Netto | 4 | 141 | 26.27 |
Hamid Krim | 5 | 520 | 59.69 |