Publication: Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation
Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation
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Rachmantya, A. D., Serdült, U., & Kryssanov, V. (2023). Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation. 33–38. https://doi.org/10.1145/3626641.3627606
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In intelligent traffic systems, it is often important to detect anomalous events in order to facilitate the avoidance of accidents and the improvement of traffic safety. Automatic anomaly detection helps human operators in detecting anomalous traffic events. For this study vehicle orientation is proposed as an approach to recognize anomalous events in traffic situations, by analyzing traffic surveillance video images. The study also compares the use of sparse optical flow and dense optical flow methods to obtain orientation features.
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- Rachmantya, Annisa Dea
- Kryssanov, Victor
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Rachmantya, A. D., Serdült, U., & Kryssanov, V. (2023). Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation. 33–38. https://doi.org/10.1145/3626641.3627606
