In this paper,we propose a novel method to make digital content by using teacher tracking system(called TTS).In order to make a digital content which includes the activity of the teacher and the writing on blackboard,...
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In this paper,we propose a novel method to make digital content by using teacher tracking system(called TTS).In order to make a digital content which includes the activity of the teacher and the writing on blackboard,we use two cameras to solve the *** first one is employed to track the teacher and record the activity of the teacher(TTS),the other one is used to implement the system of acquisition of writing on *** method can make these two systems work automatically by some simply *** build the digital content by composing the video of the activity of teacher and the image sequence of the writing on ***,the student can review the whole lesson to enhance understanding and deepen the impression of the knowledge and key *** digital content can be also published in the internet,so the students can study in anywhere and anytime.
Autonomous systems for surveillance, security, patrol, search and rescue are the focal point of extensive research and interest from defense and the security related industry, traffic control and other institutions. A...
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Autonomous systems for surveillance, security, patrol, search and rescue are the focal point of extensive research and interest from defense and the security related industry, traffic control and other institutions. A range of sensors can be used to detect and track objects, but optical cameras or camcorders are often considered due to their convenience and passive nature. Tracking based on color intensity information is often preferred than the motion cues due to being more robust. The technique presented in this paper can also be used in conjunction with infra-red cameras, 3D lasers which result in a grey scale image. Novelty detection and tracking are two of the key elements of such systems. Most of the currently reported techniques are characterized by high computational, memory storage costs and are not autonomous because they usually require a human operator in the loop. This paper presents new approaches to both the problem of novelty detection and object tracking in video streams. These approaches are rooted in the recursive techniques that are computationally efficient and therefore potentially applicable in real-time. A novel approach for recursive density estimation (RDE) using a Cauchy type of kernel (as opposed to the usually used Gaussian one) is proposed for visual novelty detection and the use of the recently introduced evolving Takagi-Sugeno (eTS) neuro-fuzzy system for tracking the object detected by the RDE approach is proposed as opposed to the usually used Kalman filter (KF). In fact, eTS can be seen as a fuzzily weighted mixture of KF. The proposed technique is significantly faster than the well known kernel density estimation (KDE) approach for background subtraction for novelty detection and is more precise than the usually used KF. Additionally the overall approach removes the need of manually selecting the object to be tracked which makes possible a fully autonomous system for novelty detection and tracking to be developed.
The MUSIC algorithm (MUltiple signal Classification) is a well-known high-resolution method to sound source localization. However, as it is essentially narrowband, several extensions can be envisaged when dealing with...
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ISBN:
(纸本)9781424409129
The MUSIC algorithm (MUltiple signal Classification) is a well-known high-resolution method to sound source localization. However, as it is essentially narrowband, several extensions can be envisaged when dealing with broadband sources like human voice. This paper presents such extensions and proposes a comparative study w.r.t. specific robotics constraints. An online beamspace MUSIC method, together with a recently developed beamforming scheme, are shown to constitute a mathematically sound and potentially efficient solution.
Vision-based sensors are a key component for robot systems, where many tasks depend on image data. Realtime constrains of the control tasks bind a lot of processing power only for a single sensor modality. Dedicated a...
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ISBN:
(纸本)9781424417612
Vision-based sensors are a key component for robot systems, where many tasks depend on image data. Realtime constrains of the control tasks bind a lot of processing power only for a single sensor modality. Dedicated and distributed processing resources are the "natural" solution to overcome this limitation. This paper presents first experiments, using embedded processors as well as dedicated hardware, performing various image (pre)processing tasks. Architectural concepts and requirements for smart vision systems have been acquired.
The harmonic potential field (HPF) approach to motion planning is shown to provide an efficient and provably-correct basis for building intelligent, context-sensitive, and goal-oriented controllers. In [1] a novel typ...
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ISBN:
(纸本)9781424406012
The harmonic potential field (HPF) approach to motion planning is shown to provide an efficient and provably-correct basis for building intelligent, context-sensitive, and goal-oriented controllers. In [1] a novel type of dampening forces called: nonlinear, anisotropic, dampening forces (NADFs) are used to convert the guidance signal from an HPF into a navigation control signal with verifiable capabilities. This work provides two extensions of the NADF approach. The first is a blind, iterative procedure that can totally cancel the steady state error. The other extension is concerned with the nonholonomic case. Theoretical developments and simulation results are provided.
With this work it is intended to do the tracking and analysis of the human motion, more specifically the gait. By using computational vision, it has been acquired the trajectories of defined control points in individu...
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ISBN:
(纸本)9781424408290
With this work it is intended to do the tracking and analysis of the human motion, more specifically the gait. By using computational vision, it has been acquired the trajectories of defined control points in individuals' body, throughout time and space. These results are to he used afterwards in gait specification of biped robots. Several types of movement and the phases that compose a common system of capture and analysis of movement are referenced. Then, methods used in image processing and a description of existing gait types are detailed. Finally, the implemented software is presented and the results analyzed.
This work focuses on the relevance of visual attention in affordance-inspired robotics. Among all approaches in robotics related to Gibson's concept of affordances [1] the dealing with attention cues is only rudim...
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All the more Advanced Traffic Management techniques base their efficiency on reliable traffic monitoring systems. In a so important and emerging field, where the technical solutions proposed to measure and collect tra...
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ISBN:
(纸本)9781424408290
All the more Advanced Traffic Management techniques base their efficiency on reliable traffic monitoring systems. In a so important and emerging field, where the technical solutions proposed to measure and collect traffic primary data are not few, a unique methodology to evaluate and compare their performance still misses. In the paper the problem of the metrological characterization of traffic monitoring systems is widely treated, founding inspiration on the ISO Guide to Uncertainty in Measurement Experimental results are. reported to demonstrate the applicability of the suggested procedure to some commercial instruments.
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the st...
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ISBN:
(纸本)9781424408290
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study. Simulation results are very promising.
This work presents a control strategy that allows a follower robot to track a target vehicle moving, along an unknown trajectory with unknown velocity. It uses only artificial vision to establish both the robot's ...
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ISBN:
(纸本)9781424408290
This work presents a control strategy that allows a follower robot to track a target vehicle moving, along an unknown trajectory with unknown velocity. It uses only artificial vision to establish both the robot's position and orientation relative to the target, so as to maintain a specified formation at a given distance. The control system is proved to be asymptotically stable at the equilibrium point, which corresponds to the navigation objective. Experimental results with two robots, a leader and a follower, are included to show the performance of the proposed vision-based tracking control system.
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