نتایج جستجو برای: target tracker robot
تعداد نتایج: 506349 فیلتر نتایج به سال:
With the current advances in computing and network technology and software, the gap between parallel and distributed computing environment is gradually becoming narrower. Consequently, parallel programs run on parallel as well as distributed systems. However, programming and porting complex applications to such environment is challenging task and not well understood. In this paper, we use a con...
This thesis describes a method of vision based station keeping and docking for floating robots. Due to the motion disturbances in the environment, these tasks are important to keep the vehicle stabilized relative to an external reference frame. A vision-based tracking system is used to measure the image deformations, as the vehicle moves with respect to a docking station. A planar surface is ch...
The major computational challenge of multi-target tracking in clutter is solving the report-to-track association problem. Multiple hypothesis tracking (MHT) [4] is an approximate solution that tries to limit the combinatorial complexity of assignment data to models in multiple frames. MHT processing and memory requirements grow exponentially with the increased number of frames used to resolve t...
Since multi-targets often occur in most applications, it is required that multi-robots are grouped to work on multi-targets simultaneously. Therefore, this paper proposes a control method for a single-master multi-slave (SMMS) teleoperator to control cooperative mobile multi-robots for a multi-target mission. The major components of the proposed control method are the robot-target pairing metho...
Target representation and localization is a central component in visual object tracking. In this paper a new approach for target representation and localization is presented. This approach tackles two of the most important causes of failure in object tracking: changes of object appearance and occlusions. We propose a modified template matching approach which does not require a priori learning o...
We introduce MMTrack (max-margin tracker), a single-target tracker that linearly combines constant and adaptive appearance features. We frame offline single-camera tracking as a structured output prediction task where the goal is to find a sequence of locations of the target given a video. Following recent advances in machine learning, we discriminatively learn tracker parameters by first gener...
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. In this paper, we present a novel online adaptive object tracker based on fast learning radial basis function (RBF) networks. Pixel based color features are used for developing the target/object model. ...
To efficiently deploy eye-tracking within 3D graphics applications, we present a new probabilistic method that predicts the patterns of user’s eye fixations in animated 3D scenes from noisy eye-tracker data. The proposed method utilises both the eye-tracker data and the known information about the 3D scene to improve the accuracy, robustness and stability. Eye-tracking can thus be used, for exa...
This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...
Long-term tracking requires extreme stability to the multitude of model updates and robustness to the disappearance and loss of the target as such will inevitably happen. For motivation, we have taken 10 randomly selected OTBsequences, doubled each by attaching a reversed version and repeated each double sequence 20 times. On most of these repetitive videos, the best current tracker performs wo...
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