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Gender recognition from body

Published: 26 October 2008 Publication History

Abstract

This paper studies the problem of recognizing gender from full body images. This problem has not been addressed before, partly because of the variant nature of human bodies and clothing that can bring tough difficulties. However, gender recognition has high application potentials, e.g. security surveillance and customer statistics collection in restaurants, supermarkets, and even building entrances. In this paper, we build a system of recognizing gender from full body images, taken from frontal or back views. Our contributions are three-fold. First, to handle the variety of human body characteristics, we represent each image by a collection of patch features, which model different body parts and provide a set of clues for gender recognition. To combine the clues, we build an ensemble learning algorithm from those body parts to recognize gender from fixed view body images (frontal or back). Second, we relax the fixed view constraint and show the possibility to train a flexible classifier for mixed view images with the almost same accuracy as the fixed view case. At last, our approach is shown to be robust to small alignment errors, which is preferred in many applications.

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Cited By

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  • (2024)Gender Recognition Based on Hand Images Employing Local and Global Shape InformationComputer10.1109/MC.2023.329558957:6(50-61)Online publication date: 4-Jun-2024
  • (2023)A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal ImagesSensors10.3390/s2323951023:23(9510)Online publication date: 29-Nov-2023
  • (2023)Age And Gender Detection By Face Segmentation And Modefied CNN Algorithm2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)10.1109/HORA58378.2023.10156730(1-7)Online publication date: 8-Jun-2023
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  1. Gender recognition from body

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    cover image ACM Conferences
    MM '08: Proceedings of the 16th ACM international conference on Multimedia
    October 2008
    1206 pages
    ISBN:9781605583037
    DOI:10.1145/1459359
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 October 2008

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    Author Tags

    1. gender recognition
    2. human body

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    MM08
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    MM08: ACM Multimedia Conference 2008
    October 26 - 31, 2008
    British Columbia, Vancouver, Canada

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2024)Gender Recognition Based on Hand Images Employing Local and Global Shape InformationComputer10.1109/MC.2023.329558957:6(50-61)Online publication date: 4-Jun-2024
    • (2023)A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal ImagesSensors10.3390/s2323951023:23(9510)Online publication date: 29-Nov-2023
    • (2023)Age And Gender Detection By Face Segmentation And Modefied CNN Algorithm2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)10.1109/HORA58378.2023.10156730(1-7)Online publication date: 8-Jun-2023
    • (2023)ViT-PGC: vision transformer for pedestrian gender classification on small-size datasetPattern Analysis and Applications10.1007/s10044-023-01196-226:4(1805-1819)Online publication date: 26-Sep-2023
    • (2023)Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional featuresNeural Computing and Applications10.1007/s00521-023-08331-435:16(11937-11968)Online publication date: 13-Feb-2023
    • (2023)Deep Ear Biometrics for Gender ClassificationProceedings of the 4th International Conference on Communication, Devices and Computing10.1007/978-981-99-2710-4_42(521-530)Online publication date: 28-Jul-2023
    • (2022)Feature Fusion with Non-local for Pedestrian Attribute RecognitionProceedings of the 2022 2nd International Conference on Bioinformatics and Intelligent Computing10.1145/3523286.3524581(421-428)Online publication date: 21-Jan-2022
    • (2022)A real-time multi view gait-based automatic gender classification system using kinect sensorMultimedia Tools and Applications10.1007/s11042-022-13704-382:8(11993-12016)Online publication date: 16-Sep-2022
    • (2021)Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial NetworkMathematics10.3390/math92025359:20(2535)Online publication date: 9-Oct-2021
    • (2021)Gender Classification Using Proposed CNN-Based Model and Ant Colony OptimizationMathematics10.3390/math91924999:19(2499)Online publication date: 6-Oct-2021
    • Show More Cited By

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