Katharina Quast

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A new technique for object tracking based on the mean shift method is presented. Instead of using a symmetric kernel like in traditional mean shift tracking, the proposed tracking algorithm uses an asymmetric kernel which is retrieved from an object mask. During the mean shift iterations not only the new object position is located but also the kernel scale(More)
GMM-SAMT, a new object tracking algorithm based on a combination of the mean shift principal and Gaussian mixture models is presented. GMM-SAMT uses an asymmetric shape adapted kernel, instead of a symmetrical one like in traditional mean shift tracking. During the mean shift iterations the kernel scale is altered according to the object scale, providing an(More)
A new method for spatial scalable region of interest transcoding of JPEG2000 images for video surveillance applications is proposed in this paper. The method transcodes HD images into quarter HD images with a ROI in HD resolution. The transcoding method is based on the precinct feature as well as on the empty packet feature of the JPEG2000 standard. Based(More)
In this paper we present a new method for automatic object detection in images and video sequences. As a classifier the popular AdaBoost algorithm is used, that combines several weak classifiers into one strong classifier. To create a detector based on this classifier, the weak classifiers are set into relation during boosting by using a geometric model.(More)
This paper presents a method for spatial scalable region of interest transcoding of JPEG2000 coded video frames for video surveillance systems. Based on a user defined ROI the method transcodes HD frames into images in moderate resolution with a ROI in HD resolution. The transcoder extracts all packets belonging to the ROI or the lower resolution levels of(More)
The tracking of motion of color object and detection of objects in real time video sequences is the important task in computer vision, video processing, image processing, intelligent system, etc. In this paper, we proposed Continuously Adaptive Mean Shift (CAMSHIFT) tracking with Color, Scale and Direction. In the CAMSHIFT the scale of the kernel is(More)
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