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ShareCam Part I Interface, System Architecture, and Implementation of a Collaboratively Con

ShareCam Part I:Interface,System Architecture,and Implementation of

a Collaboratively Controlled Robotic Webcam?

Dezhen Song and Ken Goldberg

IEOR and EECS Departments,UC Berkeley,United States

ShareCam is a robotic pan,tilt,and zoom web-based camera controlled by simultaneous frame requests from on-line users.A companion paper1describes algorithms.This paper,Part I,focuses on the system.Robotic webcameras are commercially available but currently restrict control to only one user at a time.ShareCam introduces a new inter-face that allows simultaneous control by many users.In this Java-based interface,participating users interact from their remotely located browsers where users draw desired frames over a?xed panoramic https://www.doczj.com/doc/6d14810718.html,er inputs are transmitted back to a pair of PC servers that compute optimal camera parameters,servo the camera,and provide a video stream to all users.We describe the system and compare results with two frame selection models based on user“satisfac-tion,”one memoryless and the second based on satisfaction over multiple motion cycles.ShareCam can be tested online at:https://www.doczj.com/doc/6d14810718.html,/sharecam/

1Introduction

Robotic webcameras with pan,tilt,and zoom controls are now commercially available and are being installed in dozens of locations2around the world.In these systems, the camera parameters can be remotely adjusted by view-ers via the Internet to observe details in the scene.Current control methods restrict control to one user at a time;users have to wait in a queue for their turn to operate the cam-era.In this paper we describe ShareCam,a new approach that eliminates the queue and allows many users to share control of the robotic camera simultaneously.

As illustrated in Figure1,the ShareCam system includes the camera and two servers that communicate with users via the Internet.Streaming video is captured at the cam-era server and streamed back to the remote users using a ?Submitted IEEE/RSJ International Conference on Intelligent Robots and Systems,Oct.2003.This work was supported in part by the National Science Foundation under IIS-0113147,by Intel Corporation,by Microsoft Corporation,and in part by UC Berkeley’s Center for Information Technology Research in the In-terest of Society(CITRIS).For more information please contact dzsong@https://www.doczj.com/doc/6d14810718.html, or goldberg@https://www.doczj.com/doc/6d14810718.html,.

1The paper ShareCam Part II:Approximate and Distributed Algorithms has been submitted separately to this conference,and can be found at https://www.doczj.com/doc/6d14810718.html,/sharecam/pubs

2See:

http://www.x-zone.canon.co.jp/WebView-E/index.htm

Figure1:ShareCam System Architecture.

Java https://www.doczj.com/doc/6d14810718.html,er responses are collected at the Share-Cam server and used to compute optimal camera positions, which are sent to camera server to control the camera. ShareCam’s Java-based interface includes two image windows,one?xed for user input and the other a live streaming video image.The interface collects requested camera frames(speci?ed as a desired rectangle)from n users,computes a single camera frame based on all inputs, and moves the camera accordingly.Below we describe sys-tem details and two frame selection models based on user “satisfaction.”

2Related Work

ShareCam is an example of Collaborative Telerobotics,in this case the telerobot is a camera with3degrees of free-dom.In the taxonomy proposed by Tanie et al.[7],Share-Cam is a Multiple Operator Single Robot(MOSR)sys-tem.Collaborative Telerobotics is motivated by applica-tions such as education and journalism,where groups of users desire simultaneous access to a single robotic re-source.Inputs from each user are combined to generate a single control stream for the robot.

The Internet provides a low-cost and widely-available in-terface that can make physical resources accessible to a broad range of participants.There are now thousands of we-bcams,dozens of“online robots”,a book from MIT Press

[14],and an IEEE Technical Committee on Internet and On-line Robots.

Online robots,controllable over the Internet,are an active research area.In addition to the challenges associated with time delay,supervisory control,and stability,online robots must be designed to be operated by non-specialists through intuitive user interfaces and to be accessible24hours a day; see[16,17,20,19,22,25,28,29,36]for examples of recent projects.

Tanie,Matsuhira,Chong,et al.[7]proposed the fol-lowing taxonomy for teleoperation systems:Single Oper-ator Single Robot(SOSR),Single Operator Multiple Robot (SOMR),Multiple Operator Multiple Robot(MOMR).and Multiple Operator Single Robot(MOSR).Most online robots are SOSR,where control is limited to one operator at a time.Tanie et al.analyzed an MOMR system where each operator controls one robot arm and the robot arms have overlapping workspaces.They show that predictive displays and scaled rate control are effective in reducing pick-and-place task completion times that require cooper-ation from multiple arms.

A number of SOSR systems have been designed to facil-itate remote interaction.Paulos and Canny’s Personal Rov-ing Presence(PRoP)telerobots,built on blimp or wheeled platforms,were designed to facilitate remote social interac-tion with a single remote operator[30,31].Fong,Thorpe and colleagues study SOSR systems where collaboration occurs between a single operator and a mobile robot that is treated as a peer to the human and modeled as a noisy information source[11].Related models of SOSR“cobots”are analyzed in[1,3,11,26,38].

In an MOMR project by Fukuda,Liu,Xi,and colleagues [10],two remote human operators collaborate to achieve a shared goal such as maintaining a given force on an object held at one end by a mobile robot and by a multi-jointed robot at the other.The operators,distant from the robots and from each other,each control a different robot via force-feedback devices connected to the Internet.The authors show both theoretically and experimentally that event-based control allows the system to maintain stable synchroniza-tion between operators despite of variable time-lag on the Internet.

MOMR models are also relevant to online collaborative games such as Quake,where players remotely control indi-vidual avatars in a shared environment.

In SOMR systems,one tele-operator or process con-trols multiple robots.This bears some relation to Coopera-tive(behavior-based)robots,where groups of autonomous robots interact to solve an objective[2].Recent results are reported in[5,9,35,33].

One precedent of an online MOSR system is described in McDonald,Cannon and colleagues[27].For waste cleanup,several users assist in waste cleanup using Point-and-Direct (PAD)commands[6].Users point to cleanup locations in a shared image and a robot excavates each location in turn. In this Internet-based MOSR system,collaboration is serial but pipelined,with overlapping plan and execution phases. The authors demonstrate that such collaboration improves overall execution time but do not address con?ict resolution between users.

In[12]Goldberg and Chen analyze a formal model of collaborative control and in[13]describe Internet-based MOSR system that averaged multiple human inputs to si-multaneously control a single industrial robot arm.In[15] we propose the“Spatial Dynamic V oting”(SDV)interface. The SDV collects,displays,and analyzes a sequence of spa-tial votes from multiple online operators at their Internet browsers.The votes drive the motion of a single mobile robot or human“Tele-Actor”.

Research on controllable webcams or Internet cameras are focus on two perspectives:system architectures and ap-plications.Desmet,Verkest,Mignolet et al.[8,18,40] designed webcams using recon?gurable hardware and em-bedded software.They implemented a secure VPN(Virtual Private Network)with3DES encryption and Internet cam-era server(including JPEG compression).Brooks and Mc-Kee[4]implemented an automated camera which is placed during teleoperation using Visual Acts theory and architec-ture to provide operators with task relevant information in a timely manner.The applications of webcams is not lim-ited to surveillance[21]or teleconferencing[23,24,32]. Schmid,Maule,and Roth[37]used a controllable webcam to perform all the tests for industrial robots given by ISO 9283“Performance criteria and related test methods”.Pol-lak and Hutter[34]installed a Phillips webcam on an Olym-pus BX60light microscope to record movies of investigated samples.Zhang,Navab,and Liou[41]used webcams to creat an interactive sales model for web customers.

In independent work,Kimber,Liu,Foote et al describe a multi-user robot camera in[23,24].The application is designed for videoconferencing system.They use multi-ple cameras in the systems:panoramic cameras and a pan-tilt-zoom camera.Panoramic cameras generate a dynamic panoramic view of the conference https://www.doczj.com/doc/6d14810718.html,ers control the pan-tilt-zoom camera by drawing on panoramic view.The system is well suitable for videoconferencing environment, where illumination condition is constantly good so that the image quality of panoramic view can be guaranteed.We believe multiple camera systems are good but not necessary for scenic sites where dynamic information is not neces-sary.The panoramic image can be generated by the same pan-tile-zoom camera resulting in less bandwidth require-ment.

An earlier paper[39],published in the Workshop on Al-

Figure2:This?gure illustrates ShareCam’s Java-based user interface,which currently runs on most Windows based PCs. Users view two windows.One(not shown)displays a live video stream as captured by the robotic camera.The second window,illustrated here,contains the user interface.The panoramic image is a?xed photo of the camera’s reachable range of view.The snapshot above shows4active users listed in the scrollable window at the left.Each user requests a camera frame by positioning a dashed rectangle over the panoramic image.Based on these requests,the algorithm computes an optimal camera frame(shown with solid rectangle),and servoes the camera accordingly to displays the resulting live video stream.The horizontal bars indicate levels of user satisfaction as described below.The system is installed in our research lab at Berkeley but will be moved outdoors in April2003.

gorithmic Foundations of Robotics,formulated the Share-Cam problem geometrically and reported initial results on exact algorithms:for n users and m zoom levels,the ex-act algorithm runs in O(n2m)time.That paper is available online.3

3ShareCam Interface

The ShareCam interface facilitates interaction and collabo-ration among remote https://www.doczj.com/doc/6d14810718.html,ers register online to partici-pate by selecting a characteristic color and submitting their email address to the ShareCam server,which stores this in-formation in our database and immediately sends back a password via email.The server also maintains a tutorial and an FAQ section to familiarize new users with how the systems works.

The ShareCam interface contains two windows:The video window shows the current camera view.Figure2 illustrates the panoramic window and the ShareCam user interface.

The interface also facilitates chat between users.Each user can type in a short sentence,which is displayed under-neath his/her requested frame in the panoramic image.A clocklike timer is located at the bottom right of the inter-3https://www.doczj.com/doc/6d14810718.html,/goldberg/pubs/face indicating the time before the next camera movement (typically5-10seconds).

4Hardware

The ShareCam server is a AMD K7950Mhz PC with1.2GB memory connected to a100Mbs T3line.The camera server is a AMD K7950Mhz PC with640MB memory connected to a100Mbs T3line at the remote site.It has a video-capture card,which captures video at320×240resolution. It also serves as video server running InetCam4software to broadcast video.

We used the Canon controllable camera,model VC-C3.

A comparable camera is available from Sony.The Canon camera has motorized pan,tilt and zoom with10x power zoom lens.It has PAL,composite,and S-video output with a resolution of450horizontal lines.It can communicate with a PC via a RS232C link at14,400bps.Its pan,tilt,and zoom speed is76degree per second at maximum and0.5 degree per second at minimum.It has an accuracy of0.5 degree and a380,000pixel CCD array.

5Software

As illustrated in Figure3,custom software includes:(1)the ShareCam server,(2)the camera control software and video 4https://www.doczj.com/doc/6d14810718.html,

Figure3:ShareCam system software diagram. capturing package at the video server,and(3)the client side

ShareCam Java applet.

The ShareCam server runs Redhat Linux7.1and the Apache web server1.3.20.All modules are written in GNU C++with optimization of running speed.The Share-Cam server package consists of core process,Apache mod-ules,communication process,user databases,registration module,console/log module,and login CGI script.The customized Apache module deals with communication be-tween web clients and the server via HTTP.It accepts the re-quested frame from a client and sends him/her the requested frames of others every second.It can be viewed as a CGI script but with much higher scalability.The communication module connects video server via a socket link to send cam-era control commands.A console/log module allows us to monitor and record system status in real time.

The overall design emphasizes data sharing among all processes.Collaborative control requires all clients are able to see each other’s information in real time.This is achieved by sharing memory segments among all server processes. Therefore the shared memory segment managed by the core process is the key data structure.

Clients download two applets:the ShareCam applet and the InetCam applet.The ShareCam applet is a customized software,which is show in Figure2.Part of the frame se-lection computation is done at the client side,which is im-plemented in the ShareCam applet.The ShareCam applet is written in Java1.1to ensure the compatibility with most browsers.The InetCam applet is a third party software that functions as a video terminal.

The video server package includes camera control,In-etCam server,calibration,and panoramic image generation. The camera control module written in Microsoft Visual C++is the primary module.It accepts camera control commands from the ShareCam server and translate it into RS232C pro-tocol,which is built on packages provided by Lawrence Berkeley National Laboratory5.

6Experiments

In this section,we will present experimental results for two frame selection models.We begin with a review of de?ni-tions and notation.More details can be found in the com-panion paper:Part II.

6.1Two Frame Selection Models

In the ShareCam system,φis a vector of camera param-eters that users can control.Letφde?ne a camera frame [x,y,z],where x,y specify the center point of the frame, which is corresponding to pan and tilt,and z speci?es size of the frame,which corresponds to zoom level.φde?nes a rectangular camera frame(the camera has a?xed aspect ratio of4:3).User i requests a desired frameφi.Given re-quests from n users,the system computes a single global frameφ?that will best satisfy the set of requests.

We de?ne a Generalized Intersection Over Maximum (GIOM)metric for user“satisfaction”s(φ,φi)based on how the user’s requested frameφi compares with a can-didate camera frameφ.Each of n users submits a request. Let

s(φ)=

n

i=1

s i(φi,φ)(1)

In the memoryless frame selection model,we want to?nd φ?,the value ofφthat maximizes s(φ)based only on the current set of requests:

max

φ

s(φ).

In each motion cycle,we servo the camera to this frame. An alternative frame selection is model based on user sat-isfaction over multiple motion cycles.We extend equation 1using a weighted sum of the satisfaction over multiple cy-cles.In this case total satisfaction is a function of time t:

s(φ,t)=

n

i=1

αi(t)s i(φi(t),φ(t))(2)

where the weightαi(t)for user i is a function of the user’s previous“dissatisfaction”level:u i(t)=1?s i(φi(t),φ(t)). One candidate form forαi(t)is,

αi(t)=

t?1

k=0

u i(k)

2t?1?k

5https://www.doczj.com/doc/6d14810718.html,/mbone/devserv/

which gives the recursive formulation:

αi(t)=u i(t?1)+αi(t?1)/2

If user i is not satis?ed in one motion cycle,that user’s weightαi(t),will increase over future motion cycles,even-tually dominating the requests of other users to achieve fair-ness.

These optimization problems can be solved using the ap-proximation algorithms presented in Part II or with the exact algorithms presented in [39].

Figure4:Examples of frame selection using the memoryless frame selection de?ned by equation1.

Figure4shows four examples with memoryless frame selection.Figure4(a)indicates the algorithm functions like a combination of“clustering”for rectangles with different location and size and an algorithm that identi?es the region of panoramic view with the highest requested frame den-sity.It is interesting to see that the optimal frame grows in image(b)after a large frame is requested.In Figure4(c), two more frames are requested.Since they can not com-pete with the central group of requested frames,the optimal frame remains unchanged.Figure4(d)shows a case with

all but two requested frames disjoint,the algorithm selects a frame that covers the two overlapping frames.

Figure4also says that minority users are not satis?ed if using problem de?nition given by equation1.A weighted sum format in equation2that keeps track of user unsatis-faction level is more preferable.

Figure5illustrates the results when frame selection is based on user satisfaction over multiple motion cycles.A sequence of4motion cycles is illustrated.Even though the user requested frames are unchanged,the camera frame changes to balance overall user satisfaction over

time. Figure5:Examples of frame selection over multiple motion

cycles de?ned by equation2.

6.2Online experiments

As of submission date,the system is fully functional an on-line at the url given in the Abstract.We are currently col-lecting user statistics.

7Conclusions and Future Work

This paper describes the ShareCam,a MOSR teleoperation system that allows a group of Internet users to simultane-ously share control of a pan,tilt,and zoom camera.We described the ShareCam interface,system architecture,and experiments with two frame selection models. Currently,the panoramic image generation is done by off-line by hand using Photoshop.In future work we will develop an automatic procedure for creating and calibrating the panoramic image.

A preliminary version of the ShareCam went online in Sep.2002in our lab in Berkeley.The sytem may be of?ine for a short period in April as we move the camera to an outside campus location for testing. Acknowledgments

We are grateful to Frank van der Stappen,Sariel Har-Peled, Vladlen Koltun,Dana Plautz,Cory Cox,and Eric Paulos for insightful discussions and feedback.Thanks to M.Faldu and W.Guan for their contributions to the ShareCam system,and I.Y.Song,K.“Gopal”Gopalakrishnan,Ron Alterovitz, A. Levandowski,M.Mckelvin,A.Ho,and J.Vidales for helpful sug-gestions.

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而最后,只需要简单概括,从这件事中学到的东西即可。其实这个话题思路并不是很难,关键在于烤鸭们的表述以及词汇的积累。 其实,大家都知道事件类话题是雅思口语考试中最简单的、最容易描述,却也是最常见的话题,所以大家要多注意积累素材、思考思路。其实“A way of communication”和“A good parent”这两个话题也可以用这个例子来阐述回答,而最关键的则是把老师的那段话稍作转述即可。例如,“A way of communication”我们可以先描述手机及其性能作用,以及现今的流行趋势,然后从一件事引到交流方式,还是那件事,还是那写话,只不过要突出老师用短信的方式告知我,最后,简单概述手机的用处及好处即可。是不是很简单呢?同样的,“A good parent”只需要根据情况把那些话转述为父母亲对你说的话,已经对你的影响,所以一个模板真的是百用哦! 那么我们赶紧来看看还有哪些话题可以这样转换呢? 多米诺骨牌效应:=Something you learned from math=Something you learned from your family=A piece of advice=A change you had=An important stage in your life=A text message you got=A letter you got=An E-mail you got=A way of communication=An important decision you made=A person who helped you=A kind thing someone did to you=A family member you love talking to=A good parent=An elderly family member=A neighbor=A good friend=A teacher=A science course you took=A subject you love/d at school=Your personality=First day of college=Your experience of getting money as a gift=Your experience of getting congratulations=A person you helped=A thing your friend did made you admire.

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四表格和表单 表格:表格边框
表单:
Type有:text;checkbox;radio;password;textarea;file button; Submit;reset;hidden;select

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Audrey Hepburn played a leading part in directed by Steven Spielberg.( Always 直到永远/天长地久) play a part in…在……中扮演角色,在……中起作用

Audrey Hepburn also played leading roles in < Funny Face>and < My Fair Lady〉.( My Fair Lady 窈窕淑女影片讲述下层卖花女被语言学教授改造成优雅贵妇的故事,从头至尾洋溢着幽默和雅趣 .Funny Face 甜姐儿) Play a role in…在……中扮演角色,在……中起作用 play a part/role in doing sth. 在做某事方面起作用,参与做某事 We can?all?play?a?role/part?in?reducing?our?dependence?on?plastic, if we started to?take some small?steps?in?our?everyday?lives?to?be

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