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2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance
A new approach is presented to vehicle-class recognition from a video clip. Two new concepts introduced are: probes consisting of local 3D 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 3D distances between pairs of 3D probes. The most stable image features for vehicle class recognition appear to be image curves associate with 3D ridges on the vehicledoi:10.1109/vspets.2005.1570927 fatcat:3gh4vyxdgnbedhqqukm62jxswq