| Summary: | 碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 105 === In this thesis, we develop a nearly real-time biomedical teacher tracking and video recording system to track a biomedical teacher in the indoor scene by one wide-angle camera and one PTZ (Pan-Tilt-Zoom) camera.
Human tracking has many applications such as eldercare, security surveillance, and online meeting. In this human tracking system, we employ tracking-by-detection in particle filter framework to track the target.
We have to specify which person to track first, and model the location of the target as a state distribution by particle filter. Moreover, we train a convolutional neural network as a head classifier to estimate the probability of human head, the motion detector with background subtraction, and color histogram is used to obtain the similarity between candidate and the target.
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