@inproceedings{2e1d2bb89b98456ab6e27bcf891d7e05,
title = "Suitability of edge segment based moving object detection for real time video surveillance",
abstract = "This paper investigates the suitability of the proposed edge segment based moving object detection for real time video surveillance. Traditional edge pixel based methods handle each edge pixel individually that is not suitable for robust matching, incorporating knowledge with edges, and tracking it. In the proposed method, extracted edges are represented as segments using an efficiently designed edge class and all the pixels belonging to a segment are processed together. This representation helps us to use the geometric information of edges to speed up detection process and enables incorporating knowledge into edge segments for robust matching and tracking. Experiments with real image sequences and comparisons with some existing methods illustrate the suitability of the proposed approach in moving object detection.",
keywords = "Chamfer distance, Dynamic background, Reference initialization, Segment matching, Video surveillance",
author = "{Julius Hossain}, M. and {Ali Akber Dewan}, M. and Oksam Chae",
year = "2007",
language = "English",
isbn = "9783540748175",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "526--533",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",
edition = "PART 1",
note = "11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 ; Conference date: 12-09-2007 Through 14-09-2007",
}