نتایج جستجو برای: target tracker robot

تعداد نتایج: 506349  

Journal: :Computer Vision and Image Understanding 2009
Emilio Maggio Andrea Cavallaro

We propose a tracking algorithm that combines the Mean Shift search in a Particle Filtering framework and a target representation that uses multiple semi-overlapping color histograms. The target representation introduces spatial information that accounts for rotation and anisotropic scaling without compromising the flexibility typical of color histograms. Moreover, the proposed tracker can gene...

Journal: :Bioinspiration & biomimetics 2017
Zahra M Bagheri Steven D Wiederman Benjamin S Cazzolato Steven Grainger David C O'Carroll

Robust and efficient target-tracking algorithms embedded on moving platforms, are a requirement for many computer vision and robotic applications. However, deployment of a real-time system is challenging, even with the computational power of modern hardware. As inspiration, we look to biological lightweight solutions-lightweight and low-powered flying insects. For example, dragonflies pursue pr...

2015
Fabien Despinoy Marie-Aude Vitrani

Despite the continuous improvement of master interfaces, distant robot teleoperation remains a challenging task. In many applications (e.g. spaceships, underwater or flying drones, robotic arms that operate in hazardous conditions in factories), the operator has only an indirect vision of the remote environment, provided by a video camera usually mounted on the robot end-effector itself, and di...

Journal: :Social Science Research Network 2023

Human-robot co-manipulation of soft materials, such as fabrics, composites, and sheets paper/cardboard, is a challenging operation that presents several relevant industrial applications. Estimating the deformation state co-manipulated material one main challenges. Viable methods provide indirect measure by calculating human-robot relative distance. In this paper, we develop data-driven model to...

2010
Suraj Nair Emmanuel Dean Alois Knoll

In this paper, we present a new vision-based multiple human tracking system. This novel 3D visual tracking system is capable of automatically identifying, labeling and tracking multiple humans in real-time even when they occlude each other. Furthermore, the multiple human tracker was implemented in a vision driven robot system for human robot interaction. The distributed system comprises of 4 s...

1994
Salim Hariri Rajesh Yadav Balaji Thiagarajan Sung-Yong Park Mahesh Subramanyan Rajashekar Reddy

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...

2003
C. H. Messom G. Sen Gupta S. Demidenko Lim Yuen Siong

This paper discusses a control algorithm for the interception of a mobile target. The application domain is robot soccer in which the target is a ball while the interceptor is a wheeled robot. A case study of a wheeled robot approaching a target in a given direction is presented in detail. A shoot function has been developed, using the proposed algorithm, which calculates the robot wheel veloci...

Journal: :IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023

The purpose of object tracking is to locate a given target in image sequence, such as people and vehicles. In recent years, with the development UAV technology, videos has engaged many scholars. It been widely used traffic control, water quality inspection, wildlife census other fields. However, low resolution, scale change, occlusion challenges have restricting tracker. To solve aforementioned...

1987
CHENG-YUAN TANG YI-PING HUNG SHENG-WEN SHIH

This paper presents a 3D feature-based tracker for tracking multiple moving objects using a computercontrolled binocular head. Our tracker operates in two phases: an initialization phase and a tracking phase. In the initialization phase, correspondence between 2D features in the first stereo image pair is determined reliably using the epipolar line constraint and mutually-supported consistency....

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