Medoid-shift based separation of occluded persons in thermal infrared images

Yong Tan

doi:10.1117/12.2600919

30 June 2021 Medoid-shift based separation of occluded persons in thermal infrared images

Yong Tan

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781E (2021) https://doi.org/10.1117/12.2600919
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

A method for separation of occluded persons in thermal infrared images is proposed. Firstly, an infrared image is preprocessed by a suitable segmentation method, so that the binary image, which indicates the regions of occluded persons, is available. Then, via mediod-shifts of spacial coordinates, the proposed method classifies the pixels of each region into medoid regions without prior knowledge and therefore adapts well to complex occlusion patterns in applications of infrared human detection.

Citation Download Citation

Yong Tan "Medoid-shift based separation of occluded persons in thermal infrared images", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781E (30 June 2021); https://doi.org/10.1117/12.2600919

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