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
International Journal of Automotive Technology ; 14 , 5 ; 747-756
2013-09-20
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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