Practical methods for sparsity based video anomaly detection

Xuan Mo, Vishal Monga, Raja Bala, Jose A. Rodrguez-Serrano, Zhigang Fan, Aaron Burry

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

Video anomaly detection can be used in the transportation domain to identify unusual patterns such as traffic violations, accidents, unsafe driver behavior, street crime, and other suspicious activities. Recently, sparse reconstruction techniques have been used for image classification, and shown to provide excellent robustness to occlusion. This progress has also been leveraged for sparsity based video anomaly detection where test trajectories are expressed as sparse linear combinations of example trajectories from a given (normal or anomalous) class. While sparsity based anomaly detection techniques are promising, they pose practical challenges due to their increased computational burden and the need for generous manually labeled training (even if only for normal event trajectories). Our work focuses on overcoming these limitations. Our central contribution is a dictionary design and optimization technique that can effectively reduce the size of training dictionaries that enable sparsity based classification/anomaly detection without adversely influencing detection performance. We also suggest the use of state of the art automatic trajectory clustering techniques for initializing dictionaries which can alleviate the burden of manual labeling. Experimental results show that significant computational advantages can be obtained with the proposed techniques with little performance loss over using large and manually labeled dictionaries of example trajectories.

Idioma originalAnglès
Títol de la publicació2013 16th International IEEE Conference on Intelligent Transportation Systems
Subtítol de la publicacióIntelligent Transportation Systems for All Modes, ITSC 2013
Pàgines955-960
Nombre de pàgines6
DOIs
Estat de la publicacióPublicada - 2013
Publicat externament
Esdeveniment2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 - The Hague, Netherlands
Durada: 6 d’oct. 20139 d’oct. 2013

Sèrie de publicacions

NomIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conferència

Conferència2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
País/TerritoriNetherlands
CiutatThe Hague
Període6/10/139/10/13

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