Single or multi target tracking is one of the extensively studied areas in the field of computer vision. Object detection between successive frames a key step in tracking algorithm. This paper proposes a method which uses image correlation between two images for target detection in the consecutive frames. This Image tracking method focuses on a frequency domain based approach using two dimensio...

We propose a methodology to perform real time image-based tracking on streaming 4D ultrasound data, using image registration to deduce the positioning of each ultrasound frame in a global coordinate system. Our method provides an alternative approach to traditional external tracking devices used for tracking probe movements. We compare the performance of our method against magnetic tracking on ...

A vision system has been developed that recognizes and tracks multiple vehicles from sequences of gray-scale images taken from a moving car in hard real time. Recognition is accomplished by combining the analysis of single image frames with the analysis of the motion information provided by multiple consecutive image frames. In single image frames, cars are recognized by matching deformable gra...

Biomedical Image Analysis: Tracking #1598290185, 9781598290189 #Morgan & Claypool Publishers, 2006 #2006 #Scott T. Acton, Nilanjan Ray #144 pages Biomedical Image Analysis: Tracking addresses methods for extracting image information from biological/medical images for use in tracking biological targets. Here, and in the forthcoming companion Biomedical Image Analysis: Segmentation (Morgan & Clay...

This paper presents a method for multi camera image tracking in the context of image surveillance. The approach differs from most methods in that we exploit multiple camera views to resolve object occlusion. Moving objects are detected by using background subtraction. Viewpoint correspondence between the detected objects is then established by using the ground plane homography constraint. The K...

Image super-resolution algorithm improves image resolution in software. Before image tracking, it needs to enhance image resolution to improve the image tracking accuracy of the bionic eye. The traditional super-resolution reconstruction method can’t satisfy the accuracy and real-time system, so this paper proposes super-resolution image reconstruction algorithm based on SURF (Speeded up Robust...

The image-based detection and tracking of moving objects are extremely important for many aerospace and aviation applications, including satellite-based imagery. In this paper, we briefly review various approaches related to image-centroid and/or target tracking. We emphasize square root algorithms that are supposed to be more efficient than the basic implementation of KF. Then, we present some...

Segment Cluster Tracking is a new approach of motion analysis in the class of mapping methods/algorithms. It solves the correspondence problem by matching image regions, resp. features of image regions. The image regions are created by combining color segments the result of a color segmentationto segment clusters. The tracking task is to find best correspondences between clusters of segments in...

We propose a non-intrusive eye tracking system intended for the use of everyday gaze typing using web cameras. We argue that high precision in gaze tracking is not needed for on-screen typing due to natural language redundancy. This facilitates the use of low-cost video components for advanced multi-modal interactions based on video tracking systems. Robust methods are needed to track the eyes ...