Abandoned object detection using operator-space pursuit

This work presents a framework to be used in the detection of abandoned objects and other video events in a cluttered environment with a moving camera. In the proposed method a target video, that may have features we would like to detect, is compared with a pre-acquired reference video, which is ass...

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Bibliographic Details
Published in2015 IEEE International Conference on Image Processing (ICIP) pp. 1980 - 1984
Main Authors Thomaz, Lucas A., da Silva, Allan F., da Silva, Eduardo A. B., Netto, Sergio L., Xiao Bian, Krim, Hamid
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2015
Subjects
Cameras
Cluttered Environment
Correlation
Image sequences
Minimization
Moving Camera
Object Detection
Operator Space
Surveillance
Video sequences
Yttrium
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Summary:This work presents a framework to be used in the detection of abandoned objects and other video events in a cluttered environment with a moving camera. In the proposed method a target video, that may have features we would like to detect, is compared with a pre-acquired reference video, which is assumed to have no objects nor video events of interest. The comparison is carried out by way of the achieved optimized operators, generated from the reference video, that produce Gaussian outputs when applied to it. Any anomaly of interest in the target video leads to a non-Gaussian output. The method dispenses with the target and reference videos being either synchronized or precisely registered, being robust to rotations and translations between the frames. Experiments show its good performance in the proposed environment.
DOI:10.1109/ICIP.2015.7351147