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Exploiting Dissimilarity Representations for Person Re-Identification

Exploiting Dissimilarity Representations for Person Re-Identification

This video was recorded at 1st International Workshop on Similarity-Based Pattern Analysis and Recognition. Person re-identification is the task of recognizing an individual that has already been observed over a network of video-surveillance cameras. Methods proposed in literature so far addressed this issue as a classical matching problem: a descriptor is built directly from the view of the person, and a similarity measure between descriptors is defined accordingly. In this work, we propose a general dissimilarity framework for person re-identification, aimed at transposing a generic method for person re-identification based to the commonly adopted multiple instance representation, into a dissimilarity form. Individuals are thus represented by means of dissimilarity values, in respect to... Show More

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