Feature Replenishment for Long-Term Visual Motion Tracking
نویسندگان
چکیده
This paper presents the feature-replenishment technique used by our 3D Feature Based Tracker (3DFBT). The 3DFBT is a distributed , agent-based system for real-time 3D visual motion tracking using stereo. Feature replenishment means that the system can nd new trackable features to replace those lost to noise and occlusion, and on new objects entering the scene, or revealed by dis-occlusion. This allows tracking to be continued over longer periods. Feature replenishment also entails automating the stereo correspondence process (using epi-polar and depth constraints).
منابع مشابه
Generating the Visual Biofeedback Signals Applicable to Reduction of Wrist Spasticity: A Pilot Study on Stroke Patients
Introduction: Application of biofeedback techniques in rehabilitation has turned into an exciting research area during the recent decade. Providing an appropriate visual or auditory biofeedback signal is the most critical requirement of a biofeedback technique. In this regard, changes in Surface Electromyography (SEMG) signals during wrist movement can be used to generate an indictable visual b...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملVisual Tracking using Kernel Projected Measurement and Log-Polar Transformation
Visual Servoing is generally contained of control and feature tracking. Study of previous methods shows that no attempt has been made to optimize these two parts together. In kernel based visual servoing method, the main objective is to combine and optimize these two parts together and to make an entire control loop. This main target is accomplished by using Lyapanov theory. A Lyapanov candidat...
متن کاملRobot Motion Vision Pait I: Theory
A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...
متن کاملLocally Planar Patch Features for Real-Time Structure from Motion
The performance of sequential structure from motion systems, where scene mapping is sparse to permit real-time operation, depends greatly on the ability to repeatedly measure the same visual features from a wide range of viewpoints. While previous systems have tracked features as 2D templates in image space, we show that long-term tracking is improved by treating salient feature patches as obse...
متن کامل