Feb 6, 2020 · In this paper, we propose a new method that aggregates the clip-level features to obtain the sequence-level representations of persons.

In the task of video-based person re-identification, features of persons in the query and gallery sets are compared to search the best match.

Nov 12, 2019 · “Clip-Level Feature Aggregation : A Key Factor for Video-Based Person Re-Identification.” In Advanced Concepts for Intelligent Vision Systems - ...

Feature representation and metric learning are major issues for person re-identification. The focus of re-ID work is now shifting towards developing end-to-end ...

Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification ... Authors: Chengjin Lyu; Patrick Heyer-Wollenberg; Ljiljana Platisa; Bart ...

Clip-level feature aggregation : a key factor for video-based person re-identification ; dc.contributor.author, Heyer Wollenberg, Patrick ; dc.contributor.author ...

Abstract: In the task of video-based person re-identification, sequence-level features of query and gallery persons are compared to search the best matching ...

Video-based person re-identification (Re-ID) methods can extract richer features than image-based ones from short video clips. The existing methods usually ...

Article "Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification" Detailed information of the J-GLOBAL is an information ...

Nov 21, 2024 · Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification. Advanced Concepts for Intelligent Vision Systems.