TY - GEN
T1 - Detecting suspicious behavior in surveillance images
AU - Barbará, Daniel
AU - Domeniconi, Carlotta
AU - Duriâ, Zoran
AU - Filippone, Maurizio
AU - Mansfield, Richard
AU - Lawson, Edgard
PY - 2008
Y1 - 2008
N2 - We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is normal. The key of our approach is a featureless probabilistic representation of images, based on the length of the codeword necessary to represent each image. Such codeword's lengths are then used for anomaly detection based on statistical testing. Our techniques were tested on synthetic and real data sets. The results show that our approach can achieve high true positive and low false positive rates.
AB - We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is normal. The key of our approach is a featureless probabilistic representation of images, based on the length of the codeword necessary to represent each image. Such codeword's lengths are then used for anomaly detection based on statistical testing. Our techniques were tested on synthetic and real data sets. The results show that our approach can achieve high true positive and low false positive rates.
UR - http://www.scopus.com/inward/record.url?scp=62449195431&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2008.36
DO - 10.1109/ICDMW.2008.36
M3 - Conference contribution
AN - SCOPUS:62449195431
SN - 9780769535036
T3 - Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
SP - 891
EP - 900
BT - Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
T2 - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
Y2 - 15 December 2008 through 19 December 2008
ER -