Papers › GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions

GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions

27 Feb 2024International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2024 2archive 2025-07-28

Moncef Boujou, Rabah Iguernaissi, Lionel Nicod, Djamal Merad, Séverine Dubuisson

Video-based person re-identification (Re-ID) is a challenging task aiming to match individuals across various cameras based on video sequences. While most existing Re-ID techniques focus solely on appearance information, including gait information, could potentially improve person Re-ID systems. In this study, we propose, GAF-Net, a novel approach that integrates appearance with gait features for re-identifying individuals; the appearance features are extracted from RGB tracklets while the gait features are extracted from skeletal pose estimation. These features are then combined into a single feature allowing the re-identification of individuals. Our numerical experiments on the iLIDS-Vid dataset demonstrate the efficacy of skeletal gait features in enhancing the performance of person Re-ID systems. Moreover, by incorporating the state-of-the-art PiT network within the GAF-Net framework, we improve both rank-1 and rank-5 accuracy by 1 percentage point.

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Tasks

Person Re-IdentificationPose EstimationVideo-Based Person Re-Identification

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Person Re-Identification iLIDS-VID GAF-Net Rank-1 93.07 #1 of 10 Archive leaderboard report
Person Re-Identification iLIDS-VID GAF-Net Rank-10 99.74 #1 of 10 Archive leaderboard report
Person Re-Identification iLIDS-VID GAF-Net Rank-20 99.94 #1 of 10 Archive leaderboard report
Person Re-Identification iLIDS-VID GAF-Net Rank-5 99.27 #1 of 10 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

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