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The laser beacon power required by a communication terminal for acquisition and tracking in deep space optical link scenarios can be reduced by a factor of 10 to 100 by replacing an integrating array, such as a CCD, with an array of single photon detectors. An additional benefit of the single photon detector array is that each pixel can have MHz bandwidths, allowing simultaneous recovery of photon...
A novel tracker based on points where the intensity function is locally even is presented. Tracking of these so called zero-shift points (ZSPs) is very efficient, a single point is tracked on average in less than 10 microseconds on a standard notebook. We demonstrate experimentally the robustness of the tracker to image transformations and a relatively long lifetime of ZSPs in real videosequences.
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared with similar methods based on colour and edge histograms and Bhattacharyya distance. However, the combined use of the structural similarity and a particle filter results in increased computational complexity of the algorithm...
In this paper, we present a new object tracking scheme. Different from conventional tracking process, the proposed method is combined with video encoding and can be easily embedded into video encoding system. The only information the tracker need is Summed Absolute Difference (SAD) generated by motion estimation during encoding. These SADs are used as soft votes in a fast Hough-Transform (HT) algorithm...
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects. For that task, two different kinds of estimation methods exist. On the one hand, pixel-based approaches deliver more precise results and work more robust on video sequences with foreground objects. On the other hand, when...
In the present work, automatic corner detection in soccer games based on image features (e.g., object-based features) has been studied. For this purpose, a framework has been proposed that consists of five steps. This paper mainly focuses on the first three steps and specially ball detection step. Ball position on the field plays an important role in determining which event has occurred in the game...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
When viewed from below, a user's feet cast shadows onto the floor screen of an under-floor projection system, such as a six-sided CAVE. Tracking those shadows with a camera provides enough information for calculating a user's ground-plane location, foot orientation, and footstep events. We present Shadow Walking, an unencumbered locomotion technique that uses shadow tracking to sense a user's walking...
This work describes a method for accurately tracking persons in indoor surveillance video stream obtained from a static camera with difficult scene properties including illumination changes and solves the major occlusion problem. First, moving objects are precisely extracted by determining its motion, for further processing. The scene illumination changes are averaged to obtain the accurate moving...
Real-time object tracking is recently becoming more and more important in the field of video analysis and processing. Applications like traffic-control, user-computer interaction, online video processing and production and video surveillance need reliable and economically affordable video tracking tools. This paper presents a new method for object tracking with improved efficiency by reducing the...
This study tries to increase the effects of odors by controlling the odor emissions. We developed an olfactory feedback system to maintain user's concentration effectively based on biological information. The system presumes the level of user's concentration based on an electrocardiogram analysis. The analysis is carried out using variance of R-R intervals and frequency spectra. According to the presumed...
Object tracking is a paramount task in video surveillance systems. Although many efforts have been accomplished on object tracking during the last years more work is still needed in order to generate more robust systems. A new fuzzy method for object tracking is presented in this paper. The proposed method is composed of two Sugeno type systems with weighted average memory output functions. One of...
We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently proposed technique for the robust estimation of large translational displacements. We show how the basic principles of FRC can be naturally extended to formulate a robust version of Principal Component Analysis (PCA) which can be...
A new semantic steganographic algorithm for hiding data in the motion trajectories of Video Objects (VOs) is presented. First, a set of primitives (objects bounding-box coordinates and its centroid) are used to dene a VO. The centroid of VO is tracked in each frame and its coordinate is stored in a trajectory vector. The proposed algorithm embeds data in the VO object trajectory by presenting a relationship...
The endocardium tracking in ultrasound images is challenging due to large shape variations and the signal dropout. In this paper, we present a method to fuse multiple information sources to robustly track the endocardium. The first novelty of the method is to perform tracking in a straightened shape space, to minimize the image pattern changes caused by cardiac motions. Straightened images are used...
We present a framework for interactive tracking of protein translocations between nuclei and cytoplasm of single cells. Initially, we segment selected keyframes using a novel interactive segmentation method, which employs a constrained density weighted Nyström method for eigenvector decomposition, and the geodesic commute distance for pixel classification. Tracking is achieved by both forward and...
We propose a system for human computer interaction via 3D hand movements, based on a combination of visual tracking and a cheap, off-the-shelf, accelerometer. We use a 3D model and region based tracker, resulting in robustness to variations in illumination, motion blur and occlusions. At the same time the accelerometer allows us to deal with the multimodality in the silhouette to pose function. We...
The model organism C. elegans is widely used for phenotype studies, where the behaviors of large numbers of individuals have to be measured accurately. Swimming motions exhibit unique aspects of their behavior, but are significantly more difficult to track than crawling motions. Filming multiple worms is necessary for high-throughput phenotype experiments, but adds to the complexity of tracking. Here...
Automated high-throughput analysis of single-cell timecourse data presents a major bottleneck in live cell imaging. We present LineageTracker, an ImageJ framework to track expression of fluorescent gene reporters over multiple cell divisions. It is able to perform automatic segmentation and tracking, and allows viewing and editing of tracks. The main feature of the tracking algorithm is a statistical...
In this paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. Both of these systems must be able to recognize parameters that can describe stairways in unknown environments. This...
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