@inproceedings{6b3fbcae6f6845519f93af6891dd9e43,
title = "Unsupervised pedestrian sample extraction for model training",
abstract = "Many researches on pedestrian detection use benchmarking datasets such as INRIA for model training. However, models trained with standard video database do not usually obtain satisfying performance in real-life conditions. Hence, supervised training through manually labelled instances is often required to help achieving better detection result. In this research, an innovative unsupervised training approach is proposed. By analyzing the histogram of adjacent pixels modelled from the video sequences, separated pedestrians can be extracted without manual intervention. Experiments have shown consistent performance that is superior over the state-of-the-art methods.",
keywords = "Crowd Analysis, Pedestrian Detection, Unsupervised Learning",
author = "Hao Yu and Daryl Maples and Ying Liu and Zhijie Xu",
note = "Publisher Copyright: {\textcopyright} Copyright 2019 IADIS Press. All rights reserved.; 13th International Conference on Interfaces and Human Computer Interaction 2019, IHCI 2019, 12th International Conference on Game and Entertainment Technologies 2019, GET 2019 and 13th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2019, CGVCVIP 2019 ; Conference date: 16-07-2019 Through 18-07-2019",
year = "2019",
doi = "10.33965/cgv2019\_201906l036",
language = "English",
series = "Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2019, Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019",
publisher = "IADIS Press",
pages = "291--298",
editor = "Katherine Blashki and Yingcai Xiao and Luis Rodrigues",
booktitle = "Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2019, Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019",
}