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


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摘要Speedy 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.
著者Lu CW, Shi JP, Jia JY
會議名稱IEEE International Conference on Computer Vision (ICCV)
會議開始日01.12.2013
會議完結日08.12.2013
會議地點Sydney
會議國家/地區澳大利亞
詳細描述organized by IEEE,
出版年份2013
月份1
日期1
出版社IEEE
頁次2720 - 2727
電子國際標準書號978-1-4799-2839-2
國際標準期刊號1550-5499
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence

上次更新時間 2020-09-07 於 01:30