Abnormal Event Detection at 150 FPS in MATLAB
Refereed conference paper presented and published in conference proceedings


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AbstractSpeedy abnormal event detection meets the growing demand to process an enormous number of surveillance videos. Based on inherent redundancy of video structures, we propose an efficient sparse combination learning framework. It achieves decent performance in the detection phase without compromising result quality. The short running time is guaranteed because the new method effectively turns the original complicated problem to one in which only a few costless small-scale least square optimization steps are involved. Our method reaches high detection rates on benchmark datasets at a speed of 140 similar to 150 frames per second on average when computing on an ordinary desktop PC using MATLAB.
All Author(s) ListLu CW, Shi JP, Jia JY
Name of ConferenceIEEE International Conference on Computer Vision (ICCV)
Start Date of Conference01/12/2013
End Date of Conference08/12/2013
Place of ConferenceSydney
Country/Region of ConferenceAustralia
Detailed descriptionorganized by IEEE,
Year2013
Month1
Day1
PublisherIEEE
Pages2720 - 2727
eISBN978-1-4799-2839-2
ISSN1550-5499
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence

Last updated on 2020-28-05 at 01:52