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Online Learned Siamese Network with Auto-Encoding Constraints for Robust Multi-Object Tracking
2019
Electronics
Multi-object tracking aims to estimate the complete trajectories of objects in a scene. Distinguishing among objects efficiently and correctly in complex environments is a challenging problem. In this paper, a Siamese network with an auto-encoding constraint is proposed to extract discriminative features from detection responses in a tracking-by-detection framework. Different from recent deep learning methods, the simple two layers stacked auto-encoder structure enables the Siamese network to
doi:10.3390/electronics8060595
fatcat:tdqfuxudnna3fe3q4pfmpop7hi