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Detection and classification of vehicles
Open accessAbstract
This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing is done at three levels: raw images, region level, and vehicle level. Vehicles are modeled as rectangular patches with certain dynamic behavior. The proposed method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Experimental results from highway scenes are provided which demonstrate the effectiveness of the method. We also briefly describe an interactive camera calibration tool that we have developed for recovering the camera parameters using features in the image selected by the user.
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Cited by
Automatic Traffic Surveillance System for Vehicle Tracking and Classification
Hsieh, J.-W., Yu, S.-H., Chen, Y.-S., & Hu, W.-F. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.874722 · Cited by 423
Vehicle Type Classification Using a Semisupervised Convolutional Neural Network
Dong, Z., Wu, Y., Pei, M., & Jia, Y. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2402438 · Cited by 387
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
Tian, B., Morris, B. T., Tang, M., Liu, Y., Yao, Y., Gou, C., Shen, D., & Tang, S. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2552778 · Cited by 160
Li, J., Xu, Z., Fu, L., Zhou, X., & Yu, H. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102946 · Cited by 80
Moving Vehicle Detection for Measuring Traffic Count Using OpenCV
Uke, N. J., & Thool, R. C. (2013) · Journal of Automation and Control Engineering · doi:10.12720/joace.1.4.349-352 · Cited by 67
Metadata
- Authors
- Gupte, S., Masoud, O., Martin, R. F. K., & Papanikolopoulos, N. P.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2002-03
- Volume
- 3
- Issue
- 1
- Pages
- 37-47
- ISSN
- 1524-9050 (ISSN-L)
- OpenAlex
- W2099695159
- Cited by
- 801
- References
- 0
- FWCI
- 19.84
- Type
- journal article
- Language
- en
- Open access
- green
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- Gupte, S., Masoud, O., Martin, R. F. K., & Papanikolopoulos, N. P. (2002). Detection and classification of vehicles. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/6979.994794
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