Occluded Person Re-Identification Method Based on Multiscale Features and Human Feature Reconstruction

نویسندگان

چکیده

Occluded Re-ID task is proposed mainly because people are often occluded by various obstacles in the real world, which greatly affects accuracy of model matching.In view challenge Re-ID, main work this paper as follows :(i) Aiming at incompleteness human body under occlusion, an method based on multi-scale features proposed. A partial locator constructed using target detection algorithm to automatically recognize and cut method. Then designs a horizontal pyramid pooling strategy extract enhance robustness occlusion problem. Experiments show that, has better matching task. (ii) problem that it difficult align local between different images feature reconstruction This unaligned method, uses sparse representation reconstruct features. Difficult sample triplet loss function was improved distance proportion similar parts correlation increased. can effectively improve resistance model.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3203706