The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ASSET-2: real-time motion segmentation and shape tracking
Abstract
This paper describes a system for detecting and tracking moving objects in a moving world. The feature-based optic flow field is segmented into clusters with affine internal motion which are tracked over time. The system runs in real-time, and is accurate and reliable.>
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Citations
Cites
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
Cited by
Online selection of discriminative tracking features
Collins, R. T., Liu, Y., & Leordeanu, M. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.205 · Cited by 1,208
Vehicle Detection Techniques for Collision Avoidance Systems: A Review
Mukhtar, A., Xia, L., & Tang, T. B. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2409109 · Cited by 427
Symmetry-based monocular vehicle detection system
Teoh, S. S., & Bräunl, T. (2012) · Machine Vision and Applications · doi:10.1007/s00138-011-0355-7 · Cited by 146
Maha Vishnu, V. C., Rajalakshmi, M., & Nedunchezhian, R. (2018) · Cluster Computing · doi:10.1007/s10586-017-0974-5 · Cited by 73
Metadata
- Authors
- Smith, S. M., & Brady, J. M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1995
- Volume
- 17
- Issue
- 8
- Pages
- 814-820
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2116367120
- Cited by
- 269
- References
- 1
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: ASSET-2: real-time motion segmentation and shape tracking. https://app.cochat.ai/papers/10.1109/34.400573
- The paper
- Smith, S. M., & Brady, J. M. (1995). ASSET-2: real-time motion segmentation and shape tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.400573
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.