Abstract
A new approach is presented to vehicle-class recognition from video clips. Two new concepts introduced are: probes consisting of local 3-d curve-groups which when projected into video frames are features for recognizing vehicle classes in video clips; and Bayesian recognition based on class probability densities for groups of 3-d distances between pairs of 3-d probes. A full Bayesian recognizer is realized via Monte Carlo simulation method. Also, a sub-optimal but robust camera calibration method is employed and tested extensively.
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Han, D., Cooper, D.B. & Hahn, H.S. Bayesian vehicle class recognition using 3-d probe. Int.J Automot. Technol. 14, 747–756 (2013). https://doi.org/10.1007/s12239-013-0082-3
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DOI: https://doi.org/10.1007/s12239-013-0082-3