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arXiv · 1512.07080

Cost-based Feature Transfer for Vehicle Occupant Classification

Toby Perrett·Majid Mirmehdi·Eduardo Dias
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Abstract

Knowledge of human presence and interaction in a vehicle is of growing interest to vehicle manufacturers for design and safety purposes. We present a framework to perform the tasks of occupant detection and occupant classification for automatic child locks and airbag suppression. It operates for all passenger seats, using a single overhead camera. A transfer learning technique is introduced to make full use of training data from all seats whilst still maintaining some control over the bias, necessary for a system designed to penalize certain misclassifications more than others. An evaluation is performed on a challenging dataset with both weighted and unweighted classifiers, demonstrating the effectiveness of the transfer process.

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Toby Perrett, Majid Mirmehdi, Eduardo Dias. 2015-12-22. Cost-based Feature Transfer for Vehicle Occupant Classification. https://arxiv.org/abs/1512.07080

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