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Journal of Electronic Imaging

Large-scale machine learning and evaluation platform for real-time traffic surveillance
Author(s): Justin A. Eichel; Akshaya Mishra; Nicholas Miller; Nicholas Jankovic; Mohan A. Thomas; Tyler Abbott; Douglas Swanson; Joel Keller
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Paper 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.

Paper Details

Date Published: 23 March 2016
PDF: 14 pages
J. Electron. Imaging. 25(5) 051204 doi: 10.1117/1.JEI.25.5.051204
Published in: Journal of Electronic Imaging Volume 25, Issue 5
Show Author Affiliations
Justin A. Eichel, Miovision Technologies, Inc. (Canada)
Akshaya Mishra, Miovision Technologies, Inc. (Canada)
Nicholas Miller, Miovision Technologies, Inc. (Canada)
Nicholas Jankovic, Christie Digital Systems Canada, Inc. (Canada)
Mohan A. Thomas, Miovision Technologies, Inc. (Canada)
Tyler Abbott, Miovision Technologies, Inc. (Canada)
Douglas Swanson, Intelligent Mechatronic Systems (Canada)
Joel Keller, Miovision Technologies, Inc. (Canada)

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