On-road vehicle tracking using deformable object model and particle filter with integrated likelihoods


This paper proposes a novel method for vehicle detection and tracking using a vehicle-mounted monocular camera. In this method, features of vehicles are learned as a deformable object model through the combination of a latent support vector machine (LSVM) and histograms of oriented gradients (HOG). The vehicle detector uses both global and local features as… (More)
DOI: 10.1109/IVS.2010.5548067

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