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In this paper, we propose a novel algorithm for colour iris segmentation. The algorithm may be divided into the following components: coarse iris localization, limbic boundary segmentation, pupillary boundary segmentation, eyelids fitting, reflection and shadow removal. The key contribution of the proposed algorithm is that we demonstrate the power of sparsity induced by ℓ1-norm in overcoming the...
In recent years, large-scale video search and mining has been an active research area. Exploring the trajectory of pedestrian of interest in non-overlapping multi-camera network, namely the trajectory mining, is very useful for visual surveillance and criminal investigation. The trajectory mentioned in our work describes the transition of pedestrian among cameras from a macroscopic perspective which...
A vision-based localization system for XY Tracking platform is proposed in this paper. This platform is designed for assisting the humanoid robot to measure the walking performance. When the humanoid robot walks, the platform will keep tracking the robot and localize the position. The proposed system is able to overcome the image block problem, which is caused by the humanoid robot's moving. Two cameras...
A vision-based humanoid robot and some behaviors are designed and implemented for HuroCup. HuroCup is one league of FIRA RoboWorld Cup. The competition events of Marathon and Penalty Kick are described and their corresponding behaviors are proposed in this paper. A humanoid robot with 23 DOFs (degrees of freedom) is designed so that it can do some human-like motions. A webcam is installed in the humanoid...
For detecting rice disease early and accurately, we presented an application of image processing techniques and Support Vector Machine (SVM) for detecting rice diseases. Rice disease spots were segmented and their shape and texture features were extracted. The SVM method was employed to classify rice bacterial leaf blight, rice sheath blight and rice blast. The results showed that SVM could effectively...
This paper mainly concerns about the development of a small-sized humanoid robot for penalty kick function in FIRA by using FPGA. The environment information is captured by the CMOS image sensor and the strategy is processed by FPGA. We will describe how the robot search the ball in the field and the tracking algorithm will be introduced. The strategy for PK event will also be presented in this paper...
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