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학술대회 Human Activities: Handling Uncertainties Using Fuzzy Time Intervals
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유상원, J. K. Aggarwal
International Conference on Pattern Recognition (ICPR) 2008, pp.1-5
08MS4100, 방통융합형 Full 3D 복원 기술 개발(표준화연계), 구본기
Persons may perform an activity in many different styles, or noise may cause an identical activity to have different temporal structures. We present a robust methodology for recognition of such human activities. The recognition approach presented in this paper is able to handle person-dependent and situationdependent uncertainties and variations of human activity executions. Our system reliably recognizes human activities with such execution variations, by semantically measuring the similarity between the observations generated by an activity execution and its optimal structure. The system detects fuzzy time intervals associated with low-level gestures of a person, and matches them hierarchically with the representation of the activity that the system is maintaining. Our system is tested for eight types of simple human interactions such as 'pushing' and 'shaking hands', as well as complex recursive interactions like 'fighting' and 'greeting'. The results show that the performance of our system is superior to that of the previous systems using deterministic time intervals. © 2008 IEEE.
KSP 제안 키워드
Dependent and, Deterministic time, Fuzzy time, Optimal structure, Time interval, human activity, human interaction