This paper describes a technique for image stabilization in video sequences. The warping that compensates for camera’s motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predicting the features’ positions. The effective...

In dynamic targets tracking measure system, a new detection algorithm on infrared small target is put forward. The algorithm is base on wavelet transformation, and by using it we can gain clear characteristics of target image and decrease mistake of tracking target. In paper, the principle of infrared small target detection was introduced, and the infrared small target detection system is desig...

This paper presents the design and evaluation approach of a video camera-based system for tracking and evaluating acrobatic movements. The context of this study is human gesture recognition in trampoline competition performance. Our work builds a model of trampoline movement and conducts efficient real time tracking of the trampolinist in order to recognize and evaluate a competition routine. W...

In this paper, we propose an eecient method for tracking 3D modelled objects in cluttered scenes. Rather than tracking objects in the image, our approach relies on the object recognition aspect of tracking. Candidate matches between image and model features deene volumes in the space of transformations. The volumes of the pose space satisfying the maximum number of correspondences are those tha...

A method of robust feature-detection is proposed for visual tracking with a pan-tilt head. Even with good foreground models, the tracking process is liable to be disrupted by strong features in the background. Previous researchers have shown that the disruption can be somewhat suppressed by the use of image-subtraction. Building on this idea, a more powerful statistical model of background inte...

The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specialized software products exist to detect and track animals’ positions in simple (laboratory) environments. Tracking animals in their natural environments, however, often requires substantial customization of the image ...

In this paper we present a management model to deal with the problem of tracking missing features during long image sequences using Computational Vision. Some usual difficulties related with missing features are that they may be temporarily occluded or might even have disappeared definitively, and the computational cost involved should always be reduced to the strictly necessary. The proposed N...

Tracking is widely used in a variety of computer vision applications, ranging from video surveillance to medical imaging. The principal goal of tracking is to first identify regions of interest in a scene, and to then monitor the movements or changes of the object through the image sequence. In this paper, we focus on unsupervised vehicle tracking for low resolution aerial images taken from an ...

Automatic detection and tracking of interesting targets from a sequence of images obtained from a reconnaissance platform is an interesting area of research for defense related application. Image registration is the basic step used in tracking application. The paper describes a brief review of some of the image registration algorithms, analyze their performance using a suitable image processing...

A method and results are presented for a system that finds and tracks known polyhedral objects in 3-space, given a sequence of grey-level images. The object is located in the first frame using model-based search. Image features are then tracked into the next frame using optic flow techniques, and their disparities are used to invert the perspective transform. The system can recognise when it is...