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Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD Data
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
We introduce a new real-time approach for human head and shoulder detection from RGB-D data based on a combination of image processing and deep learning approaches. Candidate head-top locations (CHL) are generated from a fast and accurate image processing algorithm that operates on depth data. We propose enhancements to the CHL algorithm making it three times faster. Various deep learning models are then evaluated for the tasks of classification and detection on the candidate head-top locations
doi:10.1109/cvprw50498.2020.00061
dblp:conf/cvpr/AhmarNL20
fatcat:p4rlupyymfb27gpiyehf2msr74