Abstract: A novel three-dimensional relative potential field is proposed for image sequence analysis, which is inspired by the physical electro-static potential. The spatial property of the 3D relative potential is studied, based on which the 3D volume segmentation can be implemented in image sequences. The experimental results of test sequences and real-world video sequences prove that the proposed method provides an effective and convenient way of object segmentation and tracking in video sequences, which can effectively support further analysis and recognition.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Xiaodong Zhuang, N. E. Mastorakis, "Image Sequence Analysis Based on the 3D Relative Potential Inspired by Physical Electro-Static Field," WSEAS Transactions on Computers, vol. 11, pp. -, 2012, DOI:
Xiaodong Zhuang, N. E. Mastorakis. Image Sequence Analysis Based on the 3D Relative Potential Inspired by Physical Electro-Static Field.
WSEAS Transactions on Computers. 2012;11:-.