We present an efficient scene layout aware object detection method for traffic surveillance. Given an input image, our approach first estimates its scene layout by transferring object annotations in a large dataset to the target image based on nonparametric label transfer. The transferred annotations are then integrated with object hypotheses generated by the state-of-the-art object detectors. We propose an approximate nearest neighbor search scheme for efficient inference in the scene layout

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... timation. Experiments verified that this simple and efficient approach provides consistent performance improvements to the stateof-the-art object detection baselines on all object categories in the TSWC-2017 localization challenge.