@inproceedings{8088af3b81704c039beb2c164228cf64,
title = "Real-time people counting method with surveillance cameras implemented on embedded system",
abstract = "This work presents an image-based method to estimate the number of people crowd in a large-spaced indoor environment. The method is implemented on embedded system using a digital signal processor. Moving people in each video frame are first extracted using background subtraction method. Additionally, an adaptation scheme is employed to update background model for conditions of sudden lighting changes and abandoned objects. The extracted foreground objects are further accumulated as weighted pixels to estimate the number of people, where the weights are automatically calculated by considering camera settings. Experimental results demonstrate that the proposed method performs well on estimating the number of people in the video surveillance.",
keywords = "Digital signal processor, People counting, Video surveillance",
author = "Chen, {Hsiang Chieh} and Chang, {Ya Ching} and Li, {Nai Jen} and Weng, {Cheng Feng} and Wang, {Wen June}",
year = "2013",
language = "???core.languages.en_GB???",
isbn = "9789881925169",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "512--515",
booktitle = "WCECS 2013 - World Congress on Engineering and Computer Science 2013",
note = "2013 World Congress on Engineering and Computer Science, WCECS 2013 ; Conference date: 23-10-2013 Through 25-10-2013",
}