Object Detection and Tracking Based on Artificial Vision for a Single Board Computer (SBC)

Author:

Mosquera Bryan G.,Castelo Bryan G.,Lema Henry P.,Changoluisa Iván D.,Cruz Patricio J.,Valencia Esteban

Publisher

Springer International Publishing

Reference15 articles.

1. Alsing, O.: Mobile Object Detection using TensorFlow Lite and Transfer Learning. Master’s thesis, KTH Royal Institute of Technology (2018)

2. Gunnarsson, A., Davidsson, M.: Real time object detection on a Raspberry Pi. Master’s thesis, Linnaeus University (2019)

3. Huang, R., Gu, J., Sun, X., Hou, Y., Uddin, S.: A rapid recognition method for electronic components based on the improved YOLO-V3 network. Electronics 8(8), 825 (2019). https://doi.org/10.3390/electronics8080825

4. Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking-learning-detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(7), 1409–1422 (2012). https://doi.org/10.1109/TPAMI.2011.239

5. Lecture Notes in Computer Science;V Lehtola,2017

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