Estimating 3D Flow for Driver Assistance Applications

JORGE SÁNCHEZ; REINHARD KLETTE; EDUARDO DESTÉFANIS

Tokyo, Japan

Simposio; 3rd Pacific-Rim Symposium on Image and Video Technology; 2009

This paper proposes a technique for estimating 3D flow vectors, by combining a KLT tracker with subsequent scale-space analysis of tracked points. A tracked point defines a 2D vector, which is mapped into 3D space based on ratios of maxima of scale-space characteristics. The approach is tested for night-vision sequences as recorded (at Daimler AG, Germany) for driver assistance projects. Those image sequences (at 25Hz) are characterized by being slightly blurry and of low contrast.