Title
On The Detection Of Abandoned Objects With A Moving Camera Using Robust Subspace Recovery And Sparse Representation
Abstract
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
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 Jardim171.93
Xiao Bian271.61
Eduardo A. B. da Silva323846.50
Sergio L. Netto414126.27
Hamid Krim552059.69