PURPOSE Previous measurements of the accuracy of image-based real-time dynamic multileaf collimator (DMLC) tracking show that the major contributor to errors is latency, i.e., the delay between target motion and MLC response. Therefore the purpose of this work was to develop a method for detailed analysis of latency contributions during image-based DMLC tracking. METHODS A prototype DMLC trac...

The lips and mouth region are the main visual parts of the human speech system; these parts hold the most visual speech information. A few techniques have been recommended to perceive lip tracking with the focus on segmentation of lip regions or extraction of lip contours. Commonly used approaches for lip tracking are Image-based methods. In the Image based methods a set of characteristic point...

Psychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data...

Red-eye” is a phenomenon that causes the eyes of flash photography subjects to appear unnaturally reddish in color. Though commercial solutions exist for red-eye correction, all of them require some measure of user intervention. A method is presented to automatically detect and correct redeye in digital images. First, faces are detected with a cascade of multi-scale classifiers. The red-eye pix...

♣ This work was supported by AGH Technical University grant no. 10.10.120.39 ABSTRACT The image compression by means of wavelet technique is considered in this paper. The proposed solution takes advantages of the current observer eye position rather than the image content. The noninvasive eye-pursuit system determines the zone of observer’s interest and sends the information back to the image c...

To deal with many pedestrian data, automatic data collection is needed. This paper describes how to automate the microscopic pedestrian flow data collection from video files. The study is restricted only to pedestrians without considering vehicular pedestrian interaction. Pedestrian tracking system consists of three sub-systems, which calculates the image processing, object tracking and traffic...

BACKGROUND Diffusion tensor imaging and related fibre tracking techniques have the potential to identify major white matter tracts afflicted by an individual pathology or tracts at risk for a given surgical approach. However, the reliability of these techniques is known to be limited by image distortions, image noise, low spatial resolution, and the problem of identifying crossing fibres. This ...

A target tracking system based on radar and image information fusion is studied in this paper, the idea of " feedback + guide " is presented. The fusion information coming from fusion center is fed to the local sensors as their initial value. The distance element and angle elements are used to guide image sensor to track target. Angle elements are used to guide radar to do the same thing. This ...

This paper describes a real-time system for multi-target tracking and classification in image sequences from a single stationary camera. Several targets can be tracked simultaneously in spite of splits and merges amongst the foreground objects and presence of clutter in the segmentation results. In results we show tracking of upto 17 targets simultaneously. The algorithm combines Kalman filter-...