Vehicle classification using sparse coding and spatial pyramid matching


This work adopts sparse coding and spatial pyramid matching to classify the vehicle images. The targets of interest, vehicles in the images, are always degraded in the complex circumstance. Hence, it seems difficult to carry out the classification task by the methods combined gray feature and traditional classifiers. Considering the vehicle image without… (More)
DOI: 10.1109/ITSC.2014.6957701


7 Figures and Tables


Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.