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Appearance Descriptors for Person Re-identification: a Comprehensive Review
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Appearance Descriptors for Person Re-identification: a Comprehensive Review
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In video-surveillance, person re-identification is the task of recognising whether an individual has already been observed over a network of cameras. Typically, this is achieved by exploiting the clothing appearance, as classical biometric traits like the face are impractical in real-world video surveillance scenarios. Clothing appearance is represented by means of low-level \textit{local} and/or \textit{global} features of the image, usually extracted according to some part-based body model to treat different body parts (e.g. torso and legs) independently. This paper provides a comprehensive review of current approaches to build appearance descriptors for person re-identification. The most relevant techniques are described in detail, and categorised according to the body models and features used. The aim of this work is to provide a structured body of knowledge and a starting point for researchers willing to conduct novel investigations on this challenging topic.
Forward citations
Cited by 1 Pith paper
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Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification
A unified taxonomy and survey of single- to multi-modal person ReID, plus a Transformer-based VI-ReID baseline that is solid but not state-of-the-art.
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