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Moving vehicle segmentation in traffic videos is a challenging work because of complex background and variety objects. In this paper, we focus on detecting vehicles that are running through crossroads using the up-to-date spatiotemporal saliency model. The current saliency detection methods aim at detecting the most salient objects, novel but stationary target will be easily classified as foreground,...
This paper proposed a moving vehicles segmentation approach combined two kinds of classifiers which are Gaussian mixture model and spatiotemporal saliency map. We extracted new spatial and temporal saliency features and improved spatiotemporal consistency optimization model to calculate more exact saliency map and to speed up the processing. Because misclassification appears when Gaussian background...
This paper deals with joint power allocation (PA) for decode-and-forward (DF) two-hop MIMO relay links with hybrid power constraints. In order to maximize the instantaneous information rate of each hop, we propose an optimal PA scheme via a primal--dual algorithm. Then, we jointly allocate the power between the source and the relay to improve the power efficiency further. The simulations will validate...
This paper presents an algorithm for optimizing reactive power using Immune Ant Colony Algorithm. The hybrid algorithm uses IA to give pheromone to distribute and makes use of improved ACA to give the optimal solution. This algorithm has been applied to IEEE 30 system and shows better results and convergence rate as compared to IA and ACA and other methods.
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