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Crowd motion segmentation problem is a hot issue in crowd behavior analysis and action recognition. A number of methods have been proposed to tackle this problem. Among the existing methods, most used flow dynamics to model the crowd motion, with only a few taking the collective property into consideration. In this paper, we proposed a crowd motion segmentation approach based on streak flow and crowd...
This paper presents a path planning method based on Pythagorean Hodograph (PH) curves and harmony search algorithm for unmanned-aerial-vehicles (UAVs) in complex environments, especially in urban environment and mountainous circumstances. The flyable paths are tuned to meet spatial demands, satisfy kinematical and dynamic constraints of the UAVs, and guarantee no collision course between any two vehicles...
In this paper, the combination of improved genetic algorithm (IGA) and rolling window technology is applied to solve the dynamic IPPS problem, and two kinds of disturbances are considered, which are the machine breakdown and new job arrival. To improve the search capability of IGA, special genetic operators are developed and adopted. To improve the local search performance of the proposed algorithm,...
Range image registration is a popular problem in pattern recognition and computer vision, and it has a wide range of applications in real life. The objective of registration is to match two models as close as possible. In this area, the best known iterative closest point (ICP) method is sensitive to the initial position of two models and it is easy stuck in local minima. In recent years, heuristic...
Integration of process planning and scheduling has been an important area of research. In recent times because of the advancement in computer computational capabilities, use of heuristic algorithms for the optimization of integrated process planning and scheduling (IPPS) problems has gained enormous popularity. This paper tries to summarize the major related work and present the trend associated with...
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