Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking

Defining a multi-target motion model, which is an important step of tracking algorithms, can be very challenging. Using fixed models (as in several generative Bayesian algorithms, such as Kalman filters) can fail to accurately predict sophisticated target motions. On the other hand, sequential learn...

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Veröffentlicht in:	arXiv.org 2019-07
Hauptverfasser:	Emambakhsh, Mehryar, Bay, Alessandro, Vazquez, Eduard
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Computer architecture Computer memory Computer Science - Computer Vision and Pattern Recognition Datasets Density Formulations Kalman filters Mathematical models Multiple target tracking Neural networks Normal distribution Recurrent neural networks Statistical analysis
Online-Zugang:	Volltext
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