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We present and evaluate a novel scene descriptor for classifying urban traffic by object motion. Atomic 3D flow vectors are extracted and compensated for the vehicle's egomotion, using stereo video sequences. Votes cast by each flow vector are accumulated in a bird's eye view histogram grid. Since we are directly using low-level object flow, no prior object detection or tracking is needed. We demonstrate...
In this paper, we investigated a new feature set, called the histograms of multi-scale orientations (H-MSO), for vehicle representation and detection. The multi-scale orientations on image pixels are calculated using Gabor filters of different scale and orientation parameters. Firstly, we divide the image into cells, and calculate the histograms of multi-scale orientations in each cell by statistics...
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