• Korean Journal of English Language and Linguistics
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• v.4 no.1
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• pp.103-116
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• 2004

Chomsky (2001) and Kitahara's (2002) suggestion that object shift occurs prior to movement of the νP-subject to SPEC-T is not on the right track with respect to the Merge operation. According to the Merge operation, TP is necessarily created earlier than CP. Chomsky (2001) suggests that the probe-goal relation between T and SUBJ is evaluated in the CP after it is known whether the position of as has become a trace losing its phonological content. However, the FocP is not a phase (CP). So, Chomsky (2001) and Kitahara's (2002) suggestion is not correct in the case of the movement of OBJ to the spec of Foc in English, either. The aim of this paper is to show that the νP-subject must move to SPEC- T prior to the consecutive movement of the wh-object to SPEC-C via object shift in English. This derivation obeys Chomsky's (2001) so-called probe-goal matching condition.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.11
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• pp.1074-1081
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• 2007

This paper presents a method for real-time face detection and tracking which combined Adaboost and Camshift algorithm. Adaboost algorithm is a method which selects an important feature called weak classifier among many possible image features by tuning weight of each feature from learning candidates. Even though excellent performance extracting the object, computing time of the algorithm is very high with window size of multi-scale to search image region. So direct application of the method is not easy for real-time tasks such as multi-task OS, robot, and mobile environment. But CAMshift method is an improvement of Mean-shift algorithm for the video streaming environment and track the interesting object at high speed based on hue value of the target region. The detection efficiency of the method is not good for environment of dynamic illumination. We propose a combined method of Adaboost and CAMshift to improve the computing speed with good face detection performance. The method was proved for real image sequences including single and more faces.