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ID image segmentation is a part that is the most subject to light in the RoboCup small size league vision subsystems and with the largest quantity of calculation in the system. While most teams use YUV color space for image segmentation, we use HSV color space in our paper. Experiments prove that this color space is less subject to light. Secondly, while region segmentation based on window search...
In the RoboCup small size league soccer vision system, butterfly IDs are the most frequently used ID design and currently all the posture information of robots in the teams is obtained by calculating the region's center of the IDs. This paper describes how we calculate the robot posture information taking into account the region's area, position and length-width ratio. Besides, Gauss'function-based...
Efficient aggregation of data collected by sensors is crucial for a successful application of wireless sensor networks (WSNs). Both minimizing the energy cost and reducing the time duration (or called latency) of data aggregation have been extensively studied for WSNs. Algorithms with theoretical performance guarantees are only known under the protocol interference model, or graph-based interference...
Image annotation can be formulated as a multi-class classification problem. A multi-class classification problem can be solved by ensemble classifiers. We investigate the ensemble of multiple two-class classifiers based on MPEG-7 standard. To get ride of redundancy information, a binary-coded chromosome genetic algorithm is used to select individual optimal classification feature pattern for each...
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