The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
A survey of video processing techniques for traffic applications
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Citations
Cites
Horn, B. K. P., & Schunck, B. G. (1981) · Artificial Intelligence · doi:10.1016/0004-3702(81)90024-2 · Cited by 10,312
Horn, B. K., & Schunck, B. G. (1981) · SPIE Proceedings · doi:10.1117/12.965761 · Cited by 7,394
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
Bertozzi, M., & Broggi, A. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650851 · Cited by 1,010
Geodesic active contours and level sets for the detection and tracking of moving objects
Paragios, N., & Deriche, R. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.841758 · Cited by 999
Nagel, H.-H., & Enkelmann, W. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767833 · Cited by 786
Automated vehicle control developments in the PATH program
Shladover, S. E., Desoer, C. A., Hedrick, J. K., Tomizuka, M., Walrand, J., Zhang, W.-B., McMahon, D. H., Peng, H., Sheikholeslam, S., & McKeown, N. (1991) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.69979 · Cited by 786
Vision and navigation for the Carnegie-Mellon Navlab
Thorpe, C., Hebert, M. H., Kanade, T., & Shafer, S. A. (1988) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.3900 · Cited by 776
Model-based object tracking in monocular image sequences of road traffic scenes
Roller, D., Daniilidis, K., & Nagel, H. H. (1993) · International Journal of Computer Vision · doi:10.1007/bf01539538 · Cited by 651
A real-time computer vision system for vehicle tracking and traffic surveillance
Coifman, B., Beymer, D., McLauchlan, P., & Malik, J. (1998) · Transportation Research Part C: Emerging Technologies · doi:10.1016/s0968-090x(98)00019-9 · Cited by 624
Recursive 3-D road and relative ego-state recognition
Dickmanns, E. D., & Mysliwetz, B. D. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121789 · Cited by 553
Cited by
Data-Driven Intelligent Transportation Systems: A Survey
Zhang, J., Wang, F.-Y., Wang, K., Lin, W.-H., Xu, X., & Chen, C. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158001 · Cited by 1,817
Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation
McCall, J. C., & Trivedi, M. M. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.869595 · Cited by 1,028
Overview of Environment Perception for Intelligent Vehicles
Zhu, H., Yuen, K.-V., Mihaylova, L., & Leung, H. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2658662 · Cited by 386
NoScope: optimizing neural network queries over video at scale
Kang, D., Emmons, J., Abuzaid, F., Bailis, P., & Zaharia, M. (2017) · Proceedings of the VLDB Endowment · doi:10.14778/3137628.3137664 · Cited by 367
FFS-VA: A Fast Filtering System for Large-scale Video Analytics
Zhang, C., Cao, Q., Jiang, H., Zhang, W., Li, J., & Yao, J. (2018) · Proceedings of the 47th International Conference on Parallel Processing · doi:10.1145/3225058.3225103 · Cited by 16
Metadata
- Authors
- Kastrinaki, V, Zervakis, M., & Kalaitzakis, K.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 21
- Issue
- 4
- Pages
- 359-381
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2122679244
- Cited by
- 527
- References
- 62
- FWCI
- 46.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A survey of video processing techniques for traffic applications. https://app.cochat.ai/papers/10.1016/s0262-8856(03)00004-0
- The paper
- Kastrinaki, V, Zervakis, M., & Kalaitzakis, K. (2003). A survey of video processing techniques for traffic applications. Image and Vision Computing. https://doi.org/10.1016/s0262-8856(03)00004-0
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.
