@inproceedings{7a3ed9b5731a46c39b63d89557938af0,
title = "Detecting people in images: An edge density approach",
abstract = "In this paper, we present a new method for detecting visual objects in digital images and video. The novelty of the proposed method is that it differentiates objects from non-objects using image edge characteristics. Our approach is based on a fast object detection method developed by Viola and Jones. While Viola and Jones use Harr-like features, we propose a new image feature - the edge density - that can be computed more efficiently. When applied to the problem of detecting people and pedestrians in images, the new feature shows a very good discriminative capability compared to the Harr-like features.",
keywords = "Image edge analysis, Object detection, Pattern recognition, People detection, Video surveillance",
author = "Phung, {S. L.} and A. Bouzerdoum",
year = "2007",
doi = "10.1109/ICASSP.2007.366136",
language = "English",
isbn = "1424407281",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "I1229--I1232",
booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",
note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",
}