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.
Bayesian vehicle class recognition using 3-d probe
2013
Article (Journal)
English
BKL: | 55.20$jStraßenfahrzeugtechnik / 55.20 Straßenfahrzeugtechnik |
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