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.
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Hossain, M.J., Dewan, M.A.A., Chae, O. (2007). Suitability of Edge Segment Based Moving Object Detection for Real Time Video Surveillance. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_65
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DOI: https://doi.org/10.1007/978-3-540-74819-9_65
Publisher Name: Springer, Berlin, Heidelberg
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