Learn More
This paper presents a simple and fast method for unsuper-vised trajectory estimation of multiple moving objects within a video scene. It is entirely based on the motion vectors that are present in compressed H.264/AVC or SVC video streams. We extract these motion vectors, perform robust frame-wise global motion estimation and use these estimates to form(More)
We present a novel system to perform efficient, compressed domain aided video analysis in the context of traffic surveillance applications. After camera installation, the system initializes by performing two short and fully automatic learning stages to gather information about the background and the principal moving directions in the scene. This knowledge(More)
This paper presents a new technique for the creation of a sequence of mosaic images from an original video shot. A mosaic image represents, on a single image, the scene background seen all over the sequence and its creation requires the estimation of the warping parameters and the use of a blending technique. The warping parameters permit one to represent(More)
This paper presents a new method to estimate in natural video sequences the position of the projection of the light source in the image plane and a shadow segmentation of previously segmented video objects. The proposed method is based on simple geometric constraints between the object, its shadow and the light source location. It requires the seg-mentation(More)