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• W1520929555 abstract "In this paper, we propose a tracking method via SIFT algorithm for recording the trajectory of human in image sequence. Instead of using a human model that present the human body to analyze motion. Only exact two feature points from the local region of a trunk, one for joints and one for limb. We calculate the similarity between two features of trajectories. The method of computing similarity is based on the motion vector and angle. We can know the degree of the angle by the connect line from joint to limb in a plane which is using the core of object to be the center. The proposed method consists of two parts. The first is to track the feature points and output the file which record trajectory. The second part is to analyze features of trajectory and adopt DTW (Dynamic Time Warping) to calculate the score to show the similarity between two trajectories." @default.
• W1520929555 created "2016-06-24" @default.
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• W1520929555 date "2011-01-01" @default.
• W1520929555 modified "2023-09-26" @default.
• W1520929555 title "Motion Analysis via Feature Point Tracking Technology" @default.
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• W1520929555 doi "https://doi.org/10.1007/978-3-642-17829-0_28" @default.
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