Fast RGB-D people tracking for service robots

Author:

Munaro Matteo,Menegatti Emanuele

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference43 articles.

1. Bajracharya, M., Moghaddam, B., Howard, A., Brennan, S., & Matthies, L. H. (2009). A fast stereo-based system for detecting and tracking pedestrians from a moving vehicle. International Journal of Robotics Research, 28(11–12), 1466–1485.

2. Basso, F., Munaro, M., Michieletto, S., Pagello, E., & Menegatti, E. (2012). IAS-12 (pp. 265–276). Korea: Jeju Island.

3. Bellotto, N., & Hu, H. (2010). Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of bayesian filters. Autonomous Robots, 28, 425–438.

4. Bernardin, K., & Stiefelhagen, R. (2008). Evaluating multiple object tracking performance: The clear mot metrics. Journal of Image Video Processing, 2008, 1:1–1:10.

5. Bradski, G. (2000). The OpenCV Library. Dr. Dobb’s Journal of Software Tools.

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