The level of security at a facility is directly related to how well the facility can keep track of “who is where?” The “who” part of this question is typically addressed through the use of face images for recognition either by a person or a computer face recognition system. The “where” part of this question can be addressed through 3D position tracking. The “who is where” problem is inherently ...

In this paper, a vision based seam tracking system is proposed for the butt welding in the container manufacture. First, the system structure is designed. Then, the main parts of the system are discussed. The system’s working principle is analyzed. And the algorithms especially the image processing algorithm and control algorithm are proposed. Finally, experiments are conducted to demonstrate t...

Existing gaze estimation methods rely mainly on 3D eye model or 2D eye appearance. While both methods have validated their effectiveness in various fields and applications, they are still limited in practice, such as portable and non-intrusive system and robust eye gaze tracking in different environments. To this end, we investigate on combining eye model with eye appearance to perform gaze est...

The paradigm of perceptual fusion provides robust solutions to computer vision problems. By combining the outputs of multiple vision modules, the assumptions and constraints of each module are factored out to result in a more robust system overall. The integration of different modules can be regarded as a form of data fusion. To this end, we propose a framework for fusing different information ...

multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...

In this paper, we introduce and evaluate an interactive guideboard with a communicative stuffed-toy guide-robot that behaves in correspondence to the user’s gazing direction. The proposed system adopts our remote gaze-tracking method, which estimates the user’s gaze angles based on image processing. The main purpose of this research is to provide intuitive and natural guidance interaction throu...

We develop a new automatic Object of Interest detection method for image trimming and a novel tracking technique in active videos. Both applications consist of salient region detection and feature matching. We deploy a color-saliency weighted Probability-of-Boundary (cPoB) map to detect salient regions. Scale Space Image Pyramid (SSIP) feature matching is proposed for image trimming. An image p...

Visual tracking is the core technology that enables the visionbased augmented reality application. Recent contributions in visual tracking are dominated by template-based tracking approaches such as ESM due to its accuracy in estimating the camera pose. However, it is shown that the template-based tracking approach is less robust against large inter-frames displacements and image variations tha...

An approach for tracking the motion of a rigid object using parameterized ow models and a compact-structure constraint is proposed. While polynomial parameterized ow models have been shown to be eeective in tracking the rigid motion of planar objects, these models are inappropriate for tracking moving objects that change appearance revealing their 3D structure. We extend these models by adding ...

Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel connectedness and resulting blob objects are subsequently tracked. This paper proposes a detection approach not requiring the binarization of the difference image. Local density maxima in the difference image usually ...