| BAYESIAN VEHICLE CLASS RECOGNITION USING 3-D PROBE |
| D. HAN1, D. B. COOPER2, H.-S. HAHN1 |
1Soongsil University
2Brown University |
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| ABSTRACT |
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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. |
| Key Words:
Vehicle class recognition, Probe, MAP (Maximum A Posteri) estimation, Bayesian recognition |
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