Original paper
Online Detection of Abnormal Events Using Incremental Coding Length
Volume: 29, Issue: 1
Published: Mar 4, 2015
Abstract
We present an unsupervised approach for abnormal event detection in videos. We propose, given a dictionary of features learned from local spatiotemporal cuboids using the sparse coding objective, the abnormality of an event depends jointly on two factors: the frequency of each feature in reconstructing all events (or, rarity of a feature) and the strength by which it is used in reconstructing the current event (or, the absolute coefficient). The...
Paper Details
Title
Online Detection of Abnormal Events Using Incremental Coding Length
Published Date
Mar 4, 2015
Volume
29
Issue
1
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