The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Abnormal behavior detection has recently gained growing interest from computer vision researchers. In this paper, the gait-analysis-based abnormal detection is proposed for walking scenes, where gaits of people are analyzed in all kinds of situations and the gait data are utilized to construct the basic gait model. Walking people in the crowd are tracked and their activities silhouettes are abstracted...
Multi-megapixel cameras are transforming airborne video surveillance by enabling persistent imaging of extremely large areas while providing sufficient pixel density to resolve both vehicles and pedestrians. The sheer spatial and temporal volume of data has rendered human scanning of expansive images for miniscule moving objects intractable, underscoring the importance of automated detection and tracking...
We propose an efficient approach that unifies activity categorization with space-time localization. The main idea is to pose activity detection as a maximum-weight connected subgraph problem over a learned space-time graph constructed on the test sequence. We show this permits an efficient branch-and-cut solution for the best-scoring — and possibly non-cubically shaped — portion of the video for a...
The ballbot with arms is an underactuated balancing mobile robot that moves on a single ball. Achieving desired motions in position space is a challenging task for such systems due to their unstable zero dynamics. This paper presents a novel approach that uses the dynamic constraint equations to plan shape trajectories, which when tracked will result in optimal tracking of desired position trajectories...
The detection and tracking of moving vehicles is a necessity for collision-free navigation. In natural unstructured environments, motion-based detection is challenging due to low signal to noise ratio. This paper describes our approach for a 14 km/h fast autonomous outdoor robot that is equipped with a Velodyne HDL-64E S2 for environment perception. We extend existing work that has proven reliable...
An automatic segmentation method for extraction of human rib structures from chest CT volume data is presented. Segmentation is initiated from the middle coronal slice to attain complete and isolated 12 pairs of ribs with a recursive tracking on coronal slices spreading from the middle coronal slice. At each coronal slice, the lung contours are extracted, candidate rib regions are derived from thresholding,...
Shape information plays an important role in biomedical image analysis because of the strong shape characteristics of biological structures. It is often used as a prior to constrain or refine the intermediate shape information derived from low-level image features. In this paper, we give an overview of the sparse shape composition based prior modeling method and its various applications of biomedical...
Quantitative analysis of left ventricular function provides valuable information about overall heart health. Echocardiography is non-invasive method for imaging the heart that provides high temporal resolution allowing for imaging cardiac motion. Shape tracking and speckle tracking are two methods that have previously been used to track cardiac deformation in ultrasound. These two methods provide...
Sidewinding is an efficient translation gait used by snakes and snake robots over flat ground, and resembles a helical tread moving over a core cylindrical geometry. Most sidewinding research has focused on straight-line translation of the snake, and less on steering capabilities. Here, we offer a new, geometrically intuitive method for steering this gait: Tapering the core cylinder into a cone, such...
This research presents a 3-D human arms tracking method with a monocular camera. In our previous work, multiple clues have been integrated by the multiple importance sampling particle filter to track the arms with arbitrary motion on the images. Due to the lack of depth information when using a monocular camera, an online sequential pose estimation based on the structure-from-motion is proposed here...
Motivated by an emerging theory of robust low-rank matrix representation, in this paper, we introduce a novel solution for online rigid-body motion registration. The goal is to develop algorithmic techniques that enable a robust, real-time motion registration solution suitable for low-cost, portable 3-D camera devices. Assuming 3-D image features are tracked via a standard tracker, the algorithm first...
A WPR-Camshift automated cells tracking algorithm is proposed here to solve shortcomings in the existing algorithms such as easy losses of tracking fast-moving cells, inadequate information of cell shape. By means of weighted probability distribution and prediction of moving cells' locations, the algorithm can manage to track fast-moving cells, meanwhile, precise locations and shapes of cells can...
It is suggested how a Markov random field can be used for object tracking with context information. The tracking is formulated as a two layer process. In the first phase, the image is represented by a set of feature points which are tracked by a standard tracker. In the second phase, the proposed semi-supervised learning and labeling algorithm is used to label the points to three classes — object,...
In several applications of computer vision and image processing, the inception of the processing starts with object detection and subsequently tracking, if the need arises. In recent years, there has been extensive research in the field of object detection and tracking. Many remarkable algorithms have been developed for object detection and tracking, including color segmentation, edge tracking and...
This paper presents a novel dense motion capture technique which creates a temporally consistent mesh sequence from several calibrated and synchronised video sequences of a dynamic object. A surface patch model based on the topology of a user-specified reference mesh is employed to track the surface of the object over time. Multi-view 3D matching of surface patches using a novel cooperative minimisation...
In this paper, we propose a general video object segmentation framework which views object segmentation from a unified Bayesian perspective and optimizes the MAP formulated problem in a progressive manner. Based on object detection and tracking results, a three-level hierarchical video object segmentation approach is presented. At the first level, an offline learned segmentor is applied to each object...
Low-cost depth cameras create new opportunities for robust and ubiquitous vision-based interfaces. While much research has focused on full-body pose estimation and the interpretation of gross body movement, this work investigates skeleton-free hand detection, tracking, and shape classification. Our goal is to build a rich and reliable gestural interface by developing methods that recognize a broad...
Hand gesture recognition plays a major role in the Human Computer Interaction (HCI), since it could be employed in many applications as a communication language. Nearly all hand gestures used in HCI are created using one hand; while other applications use gestures produced by two hands as long as both hands do not cross each other. This constraint in the bimanual gestures is due to the difficulties...
We present an efficient and accurate algorithm for face tracking using a set of Active Appearance Models (AAMs). We observe that a single AAM, trained at a particular model resolution and a particular range of displacements, has a “sweet spot” - a range of displacements for which it is most accurate. A common approach to increasing the range of convergence is to use a multi-resolution model, or a...
Cellular biology deals with studying the behavior of cells. Current time-lapse imaging microscopes help us capture the progress of experiments at intervals that allow for understanding of the dynamic and kinematic behavior of the cells. On the other hand, these devices generate such massive amounts of data (250GB of data per experiment) that manual sieving of data to identify interesting patterns...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.