Nanyang Yu

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This paper presents a method to address the problem of long-term robust object tracking in unconstrained environments. An enhanced random fern is proposed and integrated into our tracking framework as the object detector, whose main idea is to exploit the potential distribution properties of feature vectors which are here called hidden classes by on-line(More)
In this paper, indoor thermal environment of the Terminal 1 of Chengdu Shuangliu International Airport (CSIA) is taken as study object, by means of investigating, measuring and simulating based on computational fluid dynamics (CFD) codes. A total of 569 participants provided 569 sets of physical data and subjective questionnaires, and an indoor thermal(More)
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