Real-time vehicle tracking on highway
We propose a macroscopic method, which can perform real-time tracking of moving vehicles on highway. In addition to dealing with the problem caused by occlusion and noise, the proposed method can also track a vehicle doing lane change. The proposed method consists of two phases: the detection phase...
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| creator | Hsu, W.L. Liao, H.Y.M. Jeng, B.S. Fan, K.C. |
| description | We propose a macroscopic method, which can perform real-time tracking of moving vehicles on highway. In addition to dealing with the problem caused by occlusion and noise, the proposed method can also track a vehicle doing lane change. The proposed method consists of two phases: the detection phase and the tracking phase. In the detection phase, we use entropy-based features to check the existence of vehicles. Then, we use the flux theory, which is commonly used in fluid mechanics to perform the tracking task. By conducting a great number of experiments, we have demonstrated the efficiency as well as the effectiveness of the proposed system. |
| doi_str_mv | 10.1109/ITSC.2003.1252618 |
| format | Conference Proceeding |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer science Entropy Information science Intelligent transportation systems Laboratories Phase detection Road transportation Road vehicles Thermodynamics Vehicle detection |
| title | Real-time vehicle tracking on highway |
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