iccv iccv2013 iccv2013-34 iccv2013-34-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Cewu Lu, Jianping Shi, Jiaya Jia
Abstract: 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∼150 frames per soenc obnednc on average wsehtesn a computing on an ordinary desktop PC using MATLAB.