Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities
作者： Kai O. Arras , Slawomir Grzonka , Matthias Luber , Wolfram Burgard
DOI: 10.1109/ROBOT.2008.4543447
关键词:
摘要: We present an approach to laser-based people tracking using a multi-hypothesis tracker that detects and tracks legs separately with Kalman filters, constant velocity motion models, and …
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