In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points an...
In this paper, we present a scheme for vehicle detection and tracking in video. The proposed method effectively combines statistical knowledge about the class of vehicles with mot...
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
In this paper we described a new technique for measuring a distance to the front vehicle using stereo images. Only vehicles traveling in the driver's lane need to be detected...
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...