Driver Handheld Cell Phone Use Detection
Many road accidents are attributed to in-car phone use. Currently, drivers can only be fined if they are caught red-handed. In anticipation of changing legislation to allow for automated fining, we address developing computer vision detection algorithms for this task. In this talk, we discuss the technical challenges in terms of the limited amount of labeled data, low image quality and the ambiguous nature of the footage. Instead of pursuing a pure deep learning approach, we rely on domain knowledge to deal with these challenges. We show results, as well as insights into the inner workings of our approach.
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