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Due to the rapid growth of computer science, image processing technology has recently been widely applied to various fields such as videoconferencing, computer vision and face tracking. However, the development of tracking systems is at a standstill because most studies have used the still camera and pure background. In an effort for advancement, this study proposes a wireless real-time tracking system...
One of the challenges to creating robust trackers is the construction of robust appearance Model. This paper presents a robust appearance model for object tracking. The robust object distribution is acquired by comparing the two Gaussian Mixture Models of the object and background. The probability image generated by the robust object distribution is used for the CAMSHIFT tracking. Experiments on several...
Accurately counting people waiting at bus stops is essential for automated bus fleet scheduling and dispatch. Estimating the passenger demand in regular open bus stops is a nontrivial problem because of the varying conditions, such as illumination, crowdedness, people poses, to name a few. This paper presents a simple, but very effective approach to estimate the passenger count using people density...
Traditional background subtraction methods model only temporal variation of each pixel. However, there is also spatial variation in real word due to dynamic background such as waving trees, spouting fountain and camera jitters, which causes the significant performance degradation of traditional methods. In this paper, a novel spatial-temporal nonparametric background subtraction approach (STNBS) is...
In conventional methods for region segmentation of objects, the best segmentation results have been obtained by semi-automatic or interactive methods that require a small amount of user input. In this study, we propose a new technique for automatically obtaining segmentation of a flower region by using visual attention (saliency maps) as the prior probability in graph cuts. First, AdaBoost determines...
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