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Efficient Scene Layout Aware Object Detection for Traffic Surveillance
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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 layoutdoi:10.1109/cvprw.2017.128 dblp:conf/cvpr/WangHSG17 fatcat:e5fys4afebbn5ign3bee63dxqe