Automatic airline baggage counting using 3D image segmentation

Deyu Yin; Qingji Gao; Qijun Luo

doi:10.1117/12.2280247

19 June 2017 Automatic airline baggage counting using 3D image segmentation

Deyu Yin, Qingji Gao, Qijun Luo

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430P (2017) https://doi.org/10.1117/12.2280247
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

Abstract

The baggage number needs to be checked automatically during baggage self-check-in. A fast airline baggage counting method is proposed in this paper using image segmentation based on height map which is projected by scanned baggage 3D point cloud. There is height drop in actual edge of baggage so that it can be detected by the edge detection operator. And then closed edge chains are formed from edge lines that is linked by morphological processing. Finally, the number of connected regions segmented by closed chains is taken as the baggage number. Multi-bag experiment that is performed on the condition of different placement modes proves the validity of the method.

Citation Download Citation

Deyu Yin, Qingji Gao, and Qijun Luo "Automatic airline baggage counting using 3D image segmentation", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430P (19 June 2017); https://doi.org/10.1117/12.2280247

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