Moving Video Object Edge Detection Using Complex Wavelets

Authors:
Turgay Celik;Kai-Kuang Ma
Affiliations:
Temasek Laboratories, Nanyang Technological University, Singapore 637553;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

Citing 3
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting Semantic Video Objects

IEEE Computer Graphics and Applications
MPEG-4 standardized methods for the compression of arbitrarily shaped video objects

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, an unsupervised moving video object edge detection method based on the dual-tree complex wavelet transform (DT-CWT) domain is proposed, and its performance is compared with that of the discrete wavelet transform (DWT). In the proposed DT-CWT-based approach, an interframe change detection method with adaptive thresholding on six DT-CWT subbands is developed to detect moving video object edges, with assist of the edge map generated by exploiting the Canny edge detector in the corresponding frame. The performance of the proposed method is demonstrated both numerically and visually, and shows its clear superiority over the DWT-based approach.