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- W2525652833 abstract "Being robust to changeable illumination and shadow are essential requirements of a practical vehicle counting system. In this paper, we come up with a method that detects vehicle by analyzing the state of laser line projected on lane. In addition, we use the entropy of histogram of oriented gradients (HOG) descriptor extracted from the region of interest (ROI) to quantify area percent of vehicle in a ROI. Normalized HOG descriptor is with better invariance to illumination and shadow, which makes a great contribution to the robustness of our method. Once the laser line disappears or appears in an image, we use entropy of HOG to judge that whether a vehicle is driving into or driving out of the ROI. We tested this method under different conditions, experimental results also prove that our method is robust to the change of illumination, and shadow of vehicles has no impact on accuracy and recall rate of detection result." @default.
- W2525652833 created "2016-10-07" @default.
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- W2525652833 date "2016-06-01" @default.
- W2525652833 modified "2023-09-23" @default.
- W2525652833 title "Real-time vehicle counting method based on image sequences with laser line" @default.
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- W2525652833 doi "https://doi.org/10.1109/wcica.2016.7578613" @default.
- W2525652833 hasPublicationYear "2016" @default.
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