The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Fast and automatic video object segmentation and tracking for content-based applications
Abstract
The new video-coding standard MPEG-4 enables content-based functionality, as well as high coding efficiency, by taking into account shape information of moving objects. A novel algorithm for segmentation of moving objects in video sequences and extraction of video object planes (VOPs) is proposed . For the case of multiple video objects in a scene, the extraction of a specific single video object (VO) based on connected components analysis and smoothness of VO displacement in successive frames is also discussed. Our algorithm begins with a robust double-edge map derived from the difference between two successive frames. After removing edge points which belong to the previous frame, the remaining edge map, moving edge (ME), is used to extract the VOP. The proposed algorithm is evaluated on an indoor sequence captured by a low-end camera as well as MPEG-4 test sequences and produces promising results.
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Cites
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Stockman, G. C., & Shapiro, L. G. (2001) · Cited by 1,728
The MPEG-4 video standard verification model
Sikora, T. (1997) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.554415 · Cited by 571
Finding Trajectories of Feature Points in a Monocular Image Sequence
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Semiautomatic segmentation and tracking of semantic video objects
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Region-based tracking in an image sequence
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Token tracking in a cluttered scene
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Cited by
Video object tracking using adaptive Kalman filter
Weng, S.-K., Kuo, C.-M., & Tu, S.-K. (2006) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2006.03.004 · Cited by 323
A survey on online learning for visual tracking
Abbass, M. Y., Kwon, K.-C., Kim, N., Abdelwahab, S. A., El-Samie, F. E. A., & Khalaf, A. A. M. (2021) · The Visual Computer · doi:10.1007/s00371-020-01848-y · Cited by 64
Development of an Edge-Based Algorithm for Moving-Object Detection Using Background Modeling
Shin, W.-Y., Kabir, M. H., Hoque, M. R., & Yang, S.-H. (2014) · Journal of information and communication convergence engineering · doi:10.6109/jicce.2014.12.3.193 · Cited by 8
Metadata
- Authors
- Kim, C., & Hwang, J.-N.
- Venue
- IEEE Transactions on Circuits and Systems for Video Technology
- Published
- 2002
- Volume
- 12
- Issue
- 2
- Pages
- 122-129
- ISSN
- 1051-8215 (ISSN-L)
- OpenAlex
- W2150674727
- Cited by
- 304
- References
- 9
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- closed
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