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Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition.

, , , , and . AVSS, page 349-354. IEEE Computer Society, (2014)

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MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes., , , and . ICPR, page 1212-1217. IEEE Computer Society, (2014)Unified optimization framework for localization and tracking of multiple targets with multiple cameras., , , , and . Comput. Vis. Image Underst., (2018)Matching heads of multiple people in multiple camera networks., , , and . RO-MAN, page 400-405. IEEE, (2013)Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking., , , , and . IEEE Trans. Circuits Syst. Video Techn., 27 (3): 454-469 (2017)D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty., , , and . ICASSP, page 1-5. IEEE, (2023)Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras., , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (11): 3260-3274 (2019)Hierarchical feature grouping for multiple object segmentation and tracking., , and . IVCNZ, page 452-457. ACM, (2012)Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras., , , and . ICIP, page 1147-1151. IEEE, (2017)Re-ranking with ranking-reflected similarity for person re-identification., , and . Pattern Recognit. Lett., (2019)Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition., , , , and . AVSS, page 349-354. IEEE Computer Society, (2014)