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This paper presents an improved spatio-temporal (XYT) approach for local interest point-based global action representation, considering the history of moving points in an action. The presented spatio-temporal representation demonstrate robust results and we compare the developed method with previous other method. This is a SURF-based method where we extract visual features to select candidate points...
Human action understanding and analysis for various applications are still in infancy due to various factors. In this paper, for recognizing various complex activities, a combined cue for motion representation and later recognition is demonstrated based on the optical flow-based four directional motion history and basic energy images. Optical flow between consecutive frames are computed to create...
During the human-robot cooperation assembly process, detecting an operator's position not only protects the operator, but can also predict the operator's intention according to his position. This paper describes an image-based operator monitoring system based on the direct linear transformation (DLT) method. To overcome the changing light conditions in actual factories, a special color filter method...
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