Special Section on Intelligent Surveillance for Transport Systems

Large-scale machine learning and evaluation platform for real-time traffic surveillance

[+] Author Affiliations
Justin A. Eichel, Akshaya Mishra, Nicholas Miller, Mohan A. Thomas, Tyler Abbott, Joel Keller

Miovision Technologies Inc., 148 Manitou Drive, Suite 101, Kitchener, Ontario N2C 1L3, Canada

Nicholas Jankovic

Christie Digital Systems Inc., 809 Wellington Street North, Kitchener, Ontario N2H 5L6, Canada

Douglas Swanson

Intelligent Mechatronic Systems, 435 King Street North, Waterloo, Ontario N2J 2Z5, Canada

J. Electron. Imaging. 25(5), 051204 (Mar 23, 2016). doi:10.1117/1.JEI.25.5.051204
History: Received December 17, 2015; Accepted February 18, 2016
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Abstract.  In traffic engineering, vehicle detectors are trained on limited datasets, resulting in poor accuracy when deployed in real-world surveillance applications. Annotating large-scale high-quality datasets is challenging. Typically, these datasets have limited diversity; they do not reflect the real-world operating environment. There is a need for a large-scale, cloud-based positive and negative mining process and a large-scale learning and evaluation system for the application of automatic traffic measurements and classification. The proposed positive and negative mining process addresses the quality of crowd sourced ground truth data through machine learning review and human feedback mechanisms. The proposed learning and evaluation system uses a distributed cloud computing framework to handle data-scaling issues associated with large numbers of samples and a high-dimensional feature space. The system is trained using AdaBoost on 1,000,000 Haar-like features extracted from 70,000 annotated video frames. The trained real-time vehicle detector achieves an accuracy of at least 95% for 1/2 and about 78% for 19/20 of the time when tested on 7,500,000 video frames. At the end of 2016, the dataset is expected to have over 1 billion annotated video frames.

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© 2016 SPIE and IS&T

Citation

Justin A. Eichel ; Akshaya Mishra ; Nicholas Miller ; Nicholas Jankovic ; Mohan A. Thomas, et al.
"Large-scale machine learning and evaluation platform for real-time traffic surveillance", J. Electron. Imaging. 25(5), 051204 (Mar 23, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.5.051204


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