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Improved Inference for Human Attribute Recognition using Historical Video Frames  

Ha, Hoang Van (Department of Software, Sejong University)
Lee, Jong Weon (Department of Software, Sejong University)
Park, Chun-Su (Department of Computer Education, Sungkyunkwan University)
Publication Information
Journal of the Semiconductor & Display Technology / v.20, no.3, 2021 , pp. 120-124 More about this Journal
Abstract
Recently, human attribute recognition (HAR) attracts a lot of attention due to its wide application in video surveillance systems. Recent deep-learning-based solutions for HAR require time-consuming training processes. In this paper, we propose a post-processing technique that utilizes the historical video frames to improve prediction results without invoking re-training or modifying existing deep-learning-based classifiers. Experiment results on a large-scale benchmark dataset show the effectiveness of our proposed method.
Keywords
Computer Vision; Human Attribute Recognition; Pedestrian Attribute Recognition; Deep Learning; Soft Biometrics;
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