Swarm intelligence for detecting interesting events in crowded environments

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Vagia KaltsaMichael Gerasimos Strintzis

Abstract

This paper focuses on detecting and localizing anomalous events in videos of crowded scenes, i.e., divergences from a dominant pattern. Both motion and appearance information are considered, so as to robustly distinguish different kinds of anomalies, for a wide range of scenarios. A newly introduced concept based on swarm theory, histograms of oriented swarms (HOS), is applied to capture the dynamics of crowded environments. HOS, together with the well-known histograms of oriented gradients, are combined to build a descriptor that effectively characterizes each scene. These appearance and motion features are only extracted within spatiotemporal volumes of moving pixels to ensure robustness to local noise, increase accuracy in the detection of local, nondominant anomalies, and achieve a lower computational cost. Experiments on benchmark data sets containing various situations with human crowds, as well as on traffic data, led to results that surpassed the current state of the art (SoA), confirming the method's efficacy and generality. Finally, the experiments show that our approach achieves significantly higher accuracy, especially for pixel-level event detection compared to SoA methods, at a low computational cost.

References

May 1, 1995·Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics·D Helbing, P Molnár
Jan 16, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Amit AdamDaviv Reinitz
Apr 9, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·N P CuntoorR Chellappa
Nov 30, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jacinto C NascimentoJorge S Marques
Jan 5, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Weiming HuStephen Maybank
Nov 16, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Weixin LiNuno Vasconcelos
Feb 1, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Limin Wang Xiaoou Tang

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Citations

Sep 24, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Kai-Wen ChengWen-Hsien Fang
Sep 11, 2020·Sensors·Khalil KhanDurre Nayab
Jul 10, 2019·Frontiers in Physiology·Saeed AlnuaimiAhsan H Khandoker

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