This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm for visual servoing. A virtual visual servoing approach is used for 3D tracking. This method is similar to more classical nonlinear pose computation techniques. Robustness is obtained by integrating an M-estimator into the virtual visual control law via an iteratively re-weighted least squares implementation...

An object tracking method based on visual attention model and particle filter is presented. An improved visual attention model is employed to measure the similarity between tracked objects and candidate objects. Gaussian weighted color, intensity, orientation and motion saliency map are calculated with strategy to compose the attention value, which can be used to measure the similarity of the o...

Outdoor Augmented Reality (AR) applications require robust tracking. RSC has developed a real-time visual tracking system that uses visual cues of buildings in an urban environment for improving the registration results of a conventional tracking system. This approach is based on the “Visual Servoing” method. We have demonstrated the feasibility of this approach on real buildings. This poster s...

When combined with acoustical speech information, visual speech information (lip movement) significantly improves Automatic Speech Recognition (ASR) in acoustically noisy environments. Previous research has demonstrated that visual modality is a viable tool for identifying speech. However, the visual information has yet to become utilized in mainstream ASR systems due to the difficulty in accur...

Three major object tracking algorithms are evaluated in this paper. The performances of these algorithms for different video sequences are analysed. Object tracking is an important task in many surveillance applications, some problem and its difficulty depend on several factors such as pose change, various lighting condition, occlusion, dynamic object, scale and object motion, recent tracking a...

We examined the effects on human 3D tracking performance of several common defects of immersing virtual environments: spatial sensor distortion, visual latency and low update rates. Results show: 1) Removal of relatively small static distortion had minor effects on tracking accuracy, 2) An Adapted Cooper-Harper controllability scale proved the most sensitive subjective indicator of simulation d...

From Wikipedia: definition of Visual Tracking Visual tracking is the process of locating a moving object (or several ones) in time using a camera. An algorithm analyzes the video frames and outputs the location, optionally in real time. A visual tracking algorithm is based on a motion model which describes how the image of the target changes depending on a vector of motion parameters. When the ...

Analyzing the traditional visual object recognition algorithm, we presented a complete set of visual target recognition and object tracking algorithm. The algorithm uses image processing method to calculate the frame and characteristic points. And a predictable based on the "search window" approach was given in the algorithm. Experiments have shown that this target tracking algorithm speed up p...

Visual tracking of complex objects has been studied extensively in the field of robot vision, visual servoing, and surveillance. Detection of reliable low level visual features has been crucial, in the literature, for the stability of tracking in cluttered scene. However, using only low level features for tracking tends to be illusory for practical vision systems, and the selection of reliable ...

Traditional visual servoing systems do not deal with the topic of moving objects tracking. When these systems are employed to track a moving object, depending on the object velocity, visual features can go out of the image, causing the fail of the tracking task. This occurs specially when the object and the robot are both stopped and then the object starts the movement. In this work, we have em...