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Training home robots to behave like human can help people with their daily chores and repetitive tasks. In this paper, we present Imirok, a system to remotely control robotic arms by user motion using low-cost, off-the-shelf mobile devices and webcam. The motion tracking algorithm detects user motion in real time, without classifier training or predefined action sets. Experimental results show that...
The paper reports the control way of visual tracking to a fast moving target with using an active binocular robot. The robot consists of a pair of active cameras and performs as a stereo vision system. The motions of those cameras are controlled independently and achieve rigid visual tracking respectively. The difficulty of visual tracking to a fast target is to suppress the tracking delay, affected...
Vision based simultaneous localization and mapping (SLAM) has recently received much research interest. However, vision based SLAM could be corrupted with the inclusion of moving entities, which makes it hard to operate in dynamic environments. Simultaneous localization, mapping and moving object tracking (SLAMMOT) serves as a solution to deal with moving objects while performing SLAM. The existing...
In this paper we present a novel system for real-time, six degree of freedom visual simultaneous localization and mapping using a stereo camera as the only sensor. The system makes extensive use of parallelism both on the graphics processor and through multiple CPU threads. Working together these threads achieve real-time feature tracking, visual odometry, loop detection and global map correction...
This paper presents an upper body tracking algorithm with a single monocular camera. In order to be suitable for human robot interaction, the designed method should be free to work on the moving camera platform and also can achieve real-time performance. The dimension of human posture model is extremely high, and we hereby focus on the visual extraction of head and arms. A hierarchical structure model...
In this paper, we propose a marker-less full body human motion capture system designed for humanoid robot applications. The system is based on a stereo camera, and therefore has strong portability. Tracking is implemented within the particle filter framework, and the high dimensionality problem is solved through partitioned sampling. Taking advantage of the stereo setup, we propose a depth cue which...
To be able to determine the position of a static object in 3D space by means of computer vision, it has to be seen by cameras from at least two different view points. The same applies for measuring the position of a moving object based on images captured at one single time instant. However, if the cameras are not synchronized in time, or if a moving object is not visible in all images, one can not...
Human-robot interaction (HRI) has become a very important field on mobile robotics community. Service robots must have efficient modules for HRI, in order to deal with humans in a robust way. For a service robot, it is very important to interpret when a person needs or requires assistance. In this paper a system for the detection and analysis of corporal gestures (particularly walking gestures) is...
Security is an important space, the necessity of intelligent surveillance systems are becoming incredibly important. Most of the security system is an object tracking system based on images which has many weaknesses. This paper proposes the system which complement the vulnerability. Purpose of this paper is loading network camera and tracking module of sound source in mobile robot based on embedded...
This paper details a robust and accurate segmentation method for near-symmetric objects placed on a table of known geometry. Here we define visual segmentation as the problem of isolating all portions of an image that belongs to a physically coherent object. The term near-symmetric is used as our method can segment objects with some non-symmetric parts, such as a coffee mug and its handle. Using bilateral...
We present a real-time person tracking system for a mobile robot using the information from a PTZ video camera and a laser range finder. For robust tracking, the target person model is constructed. The model includes the color, edge and size information of the tracked person. People moving in the field of view are detected by the robot via the laser range finder and verified against the target person...
In this paper, we present a new approach for fusion of different measurements and sensors for 3D model based tracking. The underlying model of the tracked body is defined geometrically with generalized cylinders, which can hierarchically be connected by different kinds of joints. This results in an articulated body model with constrained kinematic degrees of freedom. The fusion approach incorporates...
Camera-based systems are frequently used to track moving objects which are in the field of their view. This paper describes design and development of a camera-based tracking robot that can constantly track moving object without necessity of calibrating camera in real world units then control the two-wheeled moving platform to follow the object. The camera serves as a feedback sensor to guide robot...
When a human tracks a moving object, he turns his eyes and head cooperatively. One example of this cooperative motion is that tracking only using his eyes or using both his head and eyes. In this research, we have developed a binocular head with a high-speed vision system to track a fast and irregularly moving object. Usually, binocular heads are controlled to turn to a front of a moving target. We...
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