[1]XIA Fan,WANG Hong.Methodologies for deception detection based on abnormal b ehavior[J].CAAI Transactions on Intelligent Systems,2007,2(5):12-19.
Copy

Methodologies for deception detection based on abnormal b ehavior

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 5 Page number: 12-19 Column: 学术论文—机器感知与模式识别 Public date: 2007-10-25
Title:
Methodologies for deception detection based on abnormal b ehavior
Author(s):
XIA Fan;  WANG Hong
State Key Laboratory of Intelligent Technology and Systems, Tsinghua University , Beijing 100084， China
Keywords:
affective computing;  deception detection;  computer vision;  intelligent systems
CLC:
TP391.4
DOI:
-
Abstract:
Research on deception detection based on visual cues for abnormal beha vior is a new project in the area of computer vision and affective computing res earch. This research aims at detecting and tracking an individual’s behavior vi a computer vision technology and analyzing the probability of it being deceptive . This has many promising applications in areas such as security surveillance, a utomated interview assistants, emotion synthesis, etc. This paper primarily foc uses on overall methods and general characteristics of computer vision related t o the detection process. A discussion on research challenges and future directio ns is also provided at the end of the paper.
References:
［1］ GUGAS C. The silent witness［M］. PrenticeHall, 1979.
［2］MASCHKE G W, SCALABRINI G J. The lie behind the lie detector［M］． 4th ed . AntiPolygraph.org, 2005.
［3］GAVRILA D. The visual analysis of human movement: A survey［J］. Compute r Vis ion and Image Understanding， 1999, 73(1):82-98.
［4］FREEMAN W, WEISSMAN C. Television control by hand gestures［A］. Proc Inte rnat ional Conference on Automatic Face and Gesture Recognition［C］. Zurich, Switzer land, 1995.
［5］REMAGNINO P, TAN T, BAKER K.MultiAgent visual surveillance of dynamic sc enes［J］. Image and Vision Computing, 1998, 16(8):529-532
［6］DEPAULO B, LINDSAY J, MALONE B, et al. Cues to deception［J］. Psychologica l Bulletin, 2003, 129:74-118.
［7］EKMAN P， FRIESEN W V. Nonverbal leakage and clues to deception［J］. Psyc hiatry, 1969, 32:88-106.
［8］ZUCKERMAN M， DRIVER R. Telling lies: verbal and nonverbal correlates of de ce ption［A］. Nonverbal Communication: An Integrated Perspective［C］. Hillsdale, NJ: Erlbaum, 1985.
［9］BULLER D B, BURGOON J K, WHITE C, et al. Interpersonal deception: VII. beha vi oral profiles of falsification, equivocation and concealment［J］. Journal of La nguage and Social Psychology, 1994, 13:366-395.
［10］VRIJ A, EDWARD K, ROBERTS K, et al. Detecting deceit via analysis of verba l and nonverbal behavior［J］. Journal of Nonverbal Behavior, 2000, 24:239-263. 
［11］VRIJ A. Detecting lies and deceit: the psychology of lying and its implica tions for professional practice［M］. Chichester, UK: John Wiley, 2000.
［12］EKMAN P. Telling lies: Clues to deceit in the marketplace, politics, and marriage［M］. New York: WW Norton and Company, 2001.
［13］LINDSAY J, MALONE B, MUHLENBRUCK L, et al. Cues to deception［J］. Psycho logical Bulletin, 2003, 129:74-118.
［14］ZUCKERMAN M, DEPAULO B, ROSENTHAL R. Verbal and nonverbal communication o f deception［J］. Advances in Experimental Social Psychology, 1981, 14:1-59.
［15］BULLER D, BURGOON J. Interpersonal deception theory［J］. Communication T heory, 1996, 6:203-242.
［16］GEORGE J, BIROS D P, BURGOON J K, et al. Training professionals to detect d eception［A］. NSF/NIJ Symposium on Intelligence and Security Informatics［C］. Tucson , AZ, 2003.
［17］MATTHEW L J, THOMAS O M, JOHN K, et al. Identification of deceptive beh av ioral cues extracted from video［A］. Proc IEEE International Conference on Inte lligent Transportation Systems［C］ .Vienna, Austria, 2005.
［18］BURGOON J K, BLAIR J P, MOYER E. Effects of communication modality on arou sa l, cognitive complexity, behavioral control and deception detection during decep tive episodes［A］. Annual Meeting of the National Communication Association［C ］. Miami Beach, USA, 2003.
［19］BURGOON J K, ADKINS J, KRUSE M, et al. An approach for intent identificat io n by building on deception detection［A］. Proc Hawaii International Conference on System Sciences［C］.Hawaii, USA, 2005.
［20］THOMAS O M, MATTHEW L J. Deception detection through automatic, unob trusi ve analysis of nonverbal behavior［J］. IEEE Intelligent Systems, 2005, 20(5):36-4 3.
［21］TSECHPENAKIS G, METAXAS D, ADKINS M, et al. HMM-based deception recogniti on from visual cues［A］. IEEE International Conference on Multimedia and Expo［C ］. Amsterdam, Netherlands,2005.
［22］SHAN L, TSECHPENAKIS G, METAXAS D N. Blob analysis of the head and hands: a method for deception detection［A］. Proc Hawaii International Conference on Sy stem Sciences［C］. Hawaii, USA, 2005.
［23］DENTE E, NG J, VRIJ A, et al. Tracking small hand movements in interview si tuations［J］. IEEE International Symposium on Imaging for Crime Detection and P revention, 2005, 35(2)：55-60.
［24］BUDDHARAJU P, DOWDALL J,TSIAMYRTZIS G, et al. Automatic thermal monitori ng system (ATHEMOS) for deception detection［A］. Proc IEEE Computer Society Confe rence on Computer Vision and Pattern Recognition［C］. Washington, DC, USA, 2005 .
［25］WYSZECKI G, STILES W. Color science: concepts and methods, quantitative d ata and formulae［M］. 2nd ed. Chichester: John Wiley & Sons , 2000.
［26］YAO H, LIU M, GAO W, et al. Method of face locating and tracking based o n chromatic coordinates transformation of color images［J］. Chinese J Computers, 2000, 23(2):158-165.
［27］LIEVIN M, LUTHON F. Nonlinear color space and spatiotemporal MRF for hier ar chical segmentation of face features in video［J］. IEEE Transactions on Image P rocessing, 2004, 13(1):63-67.
［28］FORD A, ROBERTS A. Colour space conversions［R］. Westm inster University, London, 1998.
［29］HSU L, ABDEL M, JAIN A. Face detection in color images［J］. IEEE Transac tions on Pattern Analysis and Machine Intelligence, 2002, 24(5):696-706.
［30］LEE J Y, YOO S I. An elliptical boundary model for skin color detection［ A］. Proc International Conference on Imaging Science, Systems and Technology［C］. Las Vegas, USA, 2 002.
［31］VEZHNEVETS V, SAZONOV V, ANDREEVA A. A survey on pixel-based skin color d etection techniques［A］. Proc Graphicon-2003［C］. Moscow, Russia, 2003.
［32］PHUNG S L, BOUZERDOUM A, CHAI D. Skin segmentation using color and edge i nf ormation［A］. Proc Int Symposium on Signal Processing and its Applications［C］ . Paris, France, 2003.
［33］RUIZ DEL S, VERSCHAE R. Skin detection using neighborhood informati on ［A］. Proc IEEE International Conference on Automatic Face and Gesture Recognit ion ［C］. Seoul, Korea, 2004.
［34］CHEN Y, CHEN F. Skin detection based on color and texture［J］. Computer Aided Engineering, 2006, 15(2):
［35］WELCH G, BISHOP G. An introduction to the Kalman filter［R］. SIGGRAPH Cou rse Notes, Los Angeles, California, USA, 2001. 
［36］ISARD M , BLAKE A. Condensationconditional density propagation for visua l tracking［J］. International Journal of Computer Vision, 1998, 29(1):5-28.
［37］PAVLOVICC V, REHG J, CHAM T J , et al. A dynamic bayesian network approac h to figure tracking using learned dynamic models［A］. Proc IEEE International Co nference on Computer Vision［C］. Corfu, Greece, 1999.
［38］WANG L, HU W, TAN T. A survey of visual analysis of human motion［J］. Ch inese Journal of Computers, 2002, 25(3):225-237.
［39］PARAGIOS N, DERICHE R. Geodesic active contours and level sets for the d et ection and tracking of moving objects［J］. IEEE Trans Pattern Analysis and Mach ine Intelligence, 2000, 22(3):266-280.
［40］MYERS C, RABINIER L, ROSENBERG A. Performance tradeoffs in dynamic time w ar ping algorithms for isolated word recognition［J］. IEEE Trans Acoustics, Speech , and Signal Processing, 1980, 28(6):623-635.
［41］BOBICK A, WILSON A. A statebased technique for the summarization and rec og nition of gesture［A］. Proc International Conference on Computer Vision［C］. C ambridge, 1995.
［42］TAKAHASHI K, SEKI S, et al. Recognition of dexterous manipulations from t im e varying images［A］. Proc IEEE Workshop on Motion of Non-Rigid and Articulated Objects［C］.Austin, 1994.
【43］PORITZ A. Hidden Markov models: a guided tour［A］. Proc IEEE Internati on al Conference on Acoustics, Speech and Signal Processing［C］. New York, 1988.
［44］RABINIER L. A tutorial on hidden Markov models and selected applications in speech recognition［J］. Proceedings of the IEEE, 1989, 77(2):257-285.
［45］STARNER T, PENTLAND A. Realtime american sign language recognition from vi deo using hidden Markov models［A］. Proc International Symposium on Computer Vi sion［C］. Cral Gables, Florida, 1995.
［46］ROSENBLUM M, YACOOB Y, DAVIS L. Human emotion recognition from motion usi ng a radial basis function network architecture［A］. Proc IEEE Workshop on Motion of NonRigid and Articulated Objects［C］.Austin, 1994.
［47］KOJIMA. Generating natural language description of human behaviors fr om video images［A］. Proc IEEE International Conference on Pattern Recognition ［C］. Barcelona, 2000.
［48］BOIMAN O, IRANI M. Detecting irregularities in images and in video［A］. Proc IEEE International Conf on Computer Vision［C］. Beijing, China， 2005.
［49］KILLBAR. Rules of mafia game［EB/OL］. ［2007110］. http://www.killbar.com/intro.htm.
Similar References:

Memo

-

Last Update: 2009-05-07

Copyright © CAAI Transactions on Intelligent Systems